AI

How artificial intelligence is changing biology and medicine, from protein structure prediction to AI-driven drug discovery and genomics.

AI | Bioinformatics | Health | Medical Informatics | News | Trending

Google Introduces Med-PaLM 2: An AI-based Medical Language Model for Comprehensive Medical Query Responses
BySipra Das April 16, 2023December 19, 2023

Google has made significant advancements in the field of AI-based medical technology with the launch of Med-PaLM 2, a limited-access tool that utilizes the medical language learning model (LLM). Med-PaLM 2 is designed to accurately answer medical questions, marking a major breakthrough in the field. Google also launched its Cloud-Based Claims Acceleration Suite to speed…

Read More Google Introduces Med-PaLM 2: An AI-based Medical Language Model for Comprehensive Medical Query Responses
AI | Bioinformatics | Cancer Research | Health | News | Paper Summary | Trending

Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies
ByBanhita Maitra April 12, 2023April 12, 2023

Scientists from the Max Planck Institute for the Science of Light, Germany, have developed a novel methodology for rapid pathological analysis of cells from cancerous tissue samples using artificial intelligence and a single-cell approach. This methodology is capable of generating tumor biopsy analysis results in as early as 30 minutes, enabling intra-operative consultation pathology, which…

Read More Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies
AI | Algorithm | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

MIT’s DiffDock: A Breakthrough Diffusion Generative Model-based Approach for Molecular Docking
ByBanhita Maitra April 5, 2023April 6, 2023

Researchers at the Abdul Jameel Clinic for Machine Learning in Health, MIT, have developed a novel method, DiffDock, an accelerated drug discovery pipeline using a diffusion generative model (DGM)-based approach for molecular docking. One of the crucial processes involved in a drug design pipeline involves molecular docking, which predicts the binding structure of a ligand…

Read More MIT’s DiffDock: A Breakthrough Diffusion Generative Model-based Approach for Molecular Docking
AI | Bioinformatics | Deep Learning | News | Proteomics | Tools

Enzyme Function Prediction from Amino Acid Sequence: How AI is Leading the Way
ByDr. Tamanna Anwar April 4, 2023April 4, 2023

An innovative artificial intelligence program called CLEAN (contrastive learning–enabled enzyme annotation) has the ability to predict enzyme activities based on their amino acid sequences, even if the enzymes are unfamiliar or inadequately understood. The researchers have reported that CLEAN has surpassed the most advanced tools in terms of precision, consistency, and sensitivity. However, a deeper…

Read More Enzyme Function Prediction from Amino Acid Sequence: How AI is Leading the Way
AI | Bioinformatics | Deep Learning | Disease Diagnosis | Health | News | Trending

Why the Shape of Your Heart Could be the Key to a Longer and Healthier Life
ByDr. Tamanna Anwar April 1, 2023April 1, 2023

Recent findings by the Smidt Heart Institute based on deep learning analysis of medical images suggest, that one’s likelihood of developing atrial fibrillation and heart muscle disease can be predicted by the shape of their heart as well as certain genetic indicators. What Determines Heart Shape? It’s crucial to first understand what affects how your…

Read More Why the Shape of Your Heart Could be the Key to a Longer and Healthier Life
AI | Bioinformatics | Cancer Research | Computational Models | Disease Diagnosis | Machine Learning | News | Paper Summary | Trending

Researchers Offer an Innovative Single Test-Based Approach for Early Stage Cancer Diagnosis using Exosomes, SERS Technology, and AI
ByDiyan Jain April 1, 2023April 1, 2023

Conventionally, cancer diagnostic procedures have been known for their invasive nature and enormous cost. However, researchers from KAIST and Korea University have developed a novel diagnostic approach that combines AI and innovative technology for an affordable, accessible, and non-invasive diagnosis of multiple types of cancer at an early stage under high resolution. In the study,…

Read More Researchers Offer an Innovative Single Test-Based Approach for Early Stage Cancer Diagnosis using Exosomes, SERS Technology, and AI
AI | Bioinformatics | Cancer Research | Disease Diagnosis | Machine Learning | News | Paper Summary | Transcriptomics | Trending

Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification
ByBanhita Maitra March 24, 2023March 24, 2023

Scientists from The Hospital for Sick Children, Toronto, have developed an atlas for childhood cancer diagnostic classification using machine learning approaches. Pediatric cancers are one of the leading causes of mortality in children worldwide. However, there is no comprehensive molecular assay for pediatric cancer diagnosis and classification. Currently available transcriptome-based diagnostic tools are based on…

Read More Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification
AI | Bioinformatics | Computational Models | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Trending

Transforming Protein Design with “ProT-VAE”: A Novel Approach Made Protein Engineering Easier with Deep Learning
BySejal Saxena March 23, 2023December 15, 2023

Due to the absence of adequate theoretical models and the enormous protein sequence space, the data-driven design of proteins with particular functions is difficult. The Protein Transformer Variational AutoEncoder (ProT-VAE) is a novel deep generative model for protein engineering that combines the capabilities of variational autoencoders and transformers to provide an accurate, quick, and transferrable…

Read More Transforming Protein Design with “ProT-VAE”: A Novel Approach Made Protein Engineering Easier with Deep Learning
AI | Bioinformatics | Computational Models | Disease Diagnosis | Health | Machine Learning | News | Trending

New Study Aims to use Machine Learning to Explore the Surprising Relationship Between Oral Infections and Cardiovascular Disease
ByDr. Tamanna Anwar March 21, 2023March 21, 2023

According to a new study presented at the 52nd Annual Meeting & Exhibition of the AADOCR, held in conjunction with the 47th Annual Meeting of the CADR, the researchers aim to develop a machine learning model for predicting cardiovascular disease using indicators of oral infections. The researchers believe that by using Machine learning, the relationship…

Read More New Study Aims to use Machine Learning to Explore the Surprising Relationship Between Oral Infections and Cardiovascular Disease
AI | Bioinformatics | Deep Learning | Disease Diagnosis | News | Paper Summary | Trending

Exploring the Potential of DALL-E 2 for AI-driven Image Generation in Radiology
BySejal Saxena March 20, 2023March 20, 2023

In the field of radiology, generative models, notably DALL-E 2, have tremendous promise for image production and modification. Scientists have shown that DALL-E 2 has learned relevant x-ray picture representations and is able to produce new images from text descriptions, expand images beyond their initial borders, and delete elements. Despite limitations, the authors feel that…

Read More Exploring the Potential of DALL-E 2 for AI-driven Image Generation in Radiology
AI | Bioinformatics | Cancer Research | Deep Learning | Health | Neural Network | News | Paper Summary | Precision Medicine | Trending

The Future of Cancer Care: Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes
ByBanhita Maitra March 19, 2023March 19, 2023

Scientists from Germany have developed SCEMILA, an inherently explainable AI tool for identifying diagnostic cells of acute myeloid leukemia (AML) subtypes. The authors find that the high-attention cells identified by SCEMILA coincide with cells labeled as diagnostically relevant by human experts. The model is trained based on single white blood cell images from digitized blood…

Read More The Future of Cancer Care: Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes
AI | Bioinformatics | Neural Network | News | Paper Summary | Structural Biology | Tools | Trending

Meet PAthreader: A Powerful Tool for Protein Structure and Folding Pathway Prediction using Remote Homologs Recognition
BySejal Saxena March 18, 2023March 18, 2023

Scientists from the Zhejiang University of Technology, China, have proposed a new method, PAthreader, to improve the recognition accuracy of remote homologous structures by designing a three-track alignment between predicted distance profiles and structure profiles extracted from the PDB and AlphaFoldDB. As a result, AlphaFold2 performs better, and structural modeling is more precise. The results…

Read More Meet PAthreader: A Powerful Tool for Protein Structure and Folding Pathway Prediction using Remote Homologs Recognition
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Trending

Pushing the Limits of Protein Detection: The Role of Machine Learning
ByBanhita Maitra March 16, 2023November 24, 2023

The detection of biomolecules at the nanoscale is of great significance in fundamental biology research, just as it is for biomedical investigations. The evolution of techniques for the detection and characterization of biomolecules has resulted in remarkable scale and resolution in terms of the size and mass of the molecules. Scientists from Germany have achieved…

Read More Pushing the Limits of Protein Detection: The Role of Machine Learning
AI | Antibiotic Resistance | Bioinformatics | Infectious Diseases | News | Paper Summary | Proteomics | Structural Biology | Trending

AI-Powered Structural Proteomics Unveils New Insights into Protein Complexes in Cells
BySejal Saxena March 13, 2023October 22, 2026

Molecular biology is being revolutionized by the application of artificial intelligence to simulate the structures of proteins and their complexes. Researchers utilized a combination of in-cell crosslinking mass spectroscopy and co-fractionation mass spectroscopy in order to find protein-protein interactions in Bacillus subtilis. With the help of AlphaFold-Multimer, the scientists predicted the structures of protein interactions,…

Read More AI-Powered Structural Proteomics Unveils New Insights into Protein Complexes in Cells
AI | Bioinformatics | Chronic Diseases | Deep Learning | Health | News | Paper Summary | Trending

Transformers in Action: Deep Learning Aided Cardiac Patient Mortality Risk Prediction using Electronic Health Records
ByBanhita Maitra March 10, 2023March 10, 2023

Scientists from Finland have studied and explored two transformers (deep learning models), BERT and XLNet, in the context of predicting 6-month mortality in cardiac patients from over 23,000 heterogeneous electronic health records (EHR). Transformer neural networks in deep learning are methods used for sequential data modeling. Their inbuilt properties come in handy in predicting mortality…

Read More Transformers in Action: Deep Learning Aided Cardiac Patient Mortality Risk Prediction using Electronic Health Records
AI | Bioinformatics | Machine Learning | News | Paper Summary | Trending

From Cell Cultures to Intelligent Systems: “Organoid Intelligence” is the New Energy-efficient Biocomputing Alternative to Artificial Intelligence
ByBanhita Maitra March 3, 2023March 3, 2023

Scientists from Johns Hopkins University lay out the possibility of energy-efficient biocomputing using brain organoids (3D brain cell cultures) that surpass in-silico computing capabilities. The recent advances in how human stem cell-derived brain organoids replicate crucial cellular, and molecular aspects of learning and memory have led to the coining of the term Organoid Intelligence (OI). The development in brain…

Read More From Cell Cultures to Intelligent Systems: “Organoid Intelligence” is the New Energy-efficient Biocomputing Alternative to Artificial Intelligence
AI | Bioinformatics | Computational Models | Machine Learning | News | Paper Summary | Structural Biology | Trending

A New Era in Protein Conformational Ensemble Generation: The Role of Machine Learning
BySejal Saxena February 16, 2023February 16, 2023

The biological activity of a protein is determined not only by its static, three-dimensional structure but also by its dynamic characteristics, which form a variety of shapes. This study demonstrates that machine learning can be taught on protein simulation data to build physically realistic conformational ensembles without requiring expensive sampling. The researchers trained a generative…

Read More A New Era in Protein Conformational Ensemble Generation: The Role of Machine Learning
AI | Bioinformatics | Neural Network | News | Paper Summary | RNA-Seq | Transcriptomics | Trending

Meet m6Anet: A Multiple Instance Learning based Neural Network Model for Predicting RNA Modifications
ByBanhita Maitra February 15, 2023February 15, 2023

Scientists from the Genome Institute of Singapore and A*STAR Singapore have developed a neural network-based method that implements a multi-instance learning framework, “m6Anet,” to accurately detect the RNA modification m6A from genomic data. Around 150 types of RNA modifications are currently known, of which m6A methylation is noteworthy for its role in diseases. These modifications…

Read More Meet m6Anet: A Multiple Instance Learning based Neural Network Model for Predicting RNA Modifications
AI | Bioinformatics | Disease Diagnosis | Health | Machine Learning | News | Trending

From Data to Diagnosis: Leveraging EHR Data to Identify Autism within 30 Days using Machine Learning
ByDr. Tamanna Anwar February 14, 2023February 14, 2023

Autism Spectrum Disorder (ASD), also known as autism, is a global health issue affecting millions of children worldwide. According to the World Health Organization (WHO), approximately 1 in 100 children has autism globally, with the prevalence varying across different regions and countries. Identifying autism in early childhood is crucial for providing autistic children and their…

Read More From Data to Diagnosis: Leveraging EHR Data to Identify Autism within 30 Days using Machine Learning
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology

AlphaFold Teams up with Other AI Tools to Accelerate the Drug Discovery Process
BySejal Saxena February 13, 2023October 22, 2026

Structure-based drug discovery (SBDD) is a standard method for identifying prospective medications for a target by leveraging its structural information. AlphaFold, a technique for predicting protein structure, has been regarded as a helpful resource for the discovery of therapeutics for new targets with low or no structural knowledge. In this study, the scientists utilized AlphaFold…

Read More AlphaFold Teams up with Other AI Tools to Accelerate the Drug Discovery Process
AI | Algorithm | Bioinformatics | Deep Learning | Disease Diagnosis | Health | News | Trending

Speech Analysis Meets Artificial Intelligence: The Promise of Deep Learning for Depression Detection
ByDr. Tamanna Anwar February 9, 2023February 9, 2023

Scientists at Jinhua Advanced Research Institute and Harbin University of Science and Technology have developed a deep-learning algorithm that can identify depression through speech. This algorithm was trained to recognize emotions in spoken language by looking at various pertinent traits. Millions of people all over the world go through depression, which is a common mental…

Read More Speech Analysis Meets Artificial Intelligence: The Promise of Deep Learning for Depression Detection
AI | Bioinformatics | Deep Learning | Disease Diagnosis | Health | News | Trending

The Future of Rare Disease Prediction: Machine Learning Takes the Lead
ByDr. Tamanna Anwar February 7, 2023February 7, 2023

The POPDx model does not require extensive patient datasets, which makes it potentially useful for patients with rare diseases. The POPDx framework was created to effectively identify a wide variety of phenotypes among participants in the UK Biobank study. To provide a thorough analysis, it makes use of a wide variety of patient data, including…

Read More The Future of Rare Disease Prediction: Machine Learning Takes the Lead
AI | Algorithm | COVID-19 | Database | Drug Discovery | Paper Summary

Expediating the Discovery of Super Tight-Binding Antibodies with an AI Model “RESP”
ByBanhita Maitra February 3, 2023February 3, 2023

Scientists from UCSD have devised an efficient AI-based pipeline, RESP, for identifying high-affinity antibodies. Typically, researchers would employ directed evolution to enable iterative mutagenesis and selection to identify and assess high-affinity antibodies. Existing methods employing deep learning techniques fail to provide statistical estimates for assessing reliable predictions. RESP, as a pipeline, implements an autoencoder model…

Read More Expediating the Discovery of Super Tight-Binding Antibodies with an AI Model “RESP”
AI | Algorithm | Bioinformatics | Database | News | Paper Summary | Structural Biology | Tools | Trending

Meet AlphaFill: An AI Algorithm to Fill Missing Ligands and Cofactors in AlphaFold Models
BySejal Saxena February 2, 2023February 2, 2023

According to Levinthal’s paradox, each protein may adopt around 10300 distinct structures. We now know 3-D structures for about 98% of the human proteome thanks to DeepMind’s AI system, AlphaFold. However, AlphaFold has limitations, such as its inability to generate coordinates for tiny molecules and ligands that are critical to the protein’s activity. Researchers from…

Read More Meet AlphaFill: An AI Algorithm to Fill Missing Ligands and Cofactors in AlphaFold Models
AI | Bioinformatics | Computational Models | Deep Learning | Drug Discovery | Genetic Engineering | News | Paper Summary | Tools | Transcriptomics | Trending

Meet ZFDesign: A Universal Deep Learning Model for Zinc Finger Design Enabling Transcription Factor Reprogramming
ByBanhita Maitra January 30, 2023January 30, 2023

Controlling gene expression by engineering Cys2His2 zinc finger (ZF) domains to bind particular target sequences in the genome has many therapeutic applications. However, due to their intricate structure, designing these domains to interact with DNA is challenging. To address the problem, scientists from the University of Toronto and New York University have developed a deep…

Read More Meet ZFDesign: A Universal Deep Learning Model for Zinc Finger Design Enabling Transcription Factor Reprogramming
AI | Bioinformatics | Biomedical Engineering | Computational Models | Deep Learning | Drug Discovery | Machine Learning | News | Proteomics | Trending

AI Proteins: Unlocking the Potential of Protein Generation from Scratch with Natural Language Model “ProGen”
ByDr. Tamanna Anwar January 28, 2023October 22, 2026

Scientists from the University of California, San Francisco, have created an inventive AI system that can create entirely new enzymes from scratch. Even though the amino acid sequences of these synthetic enzymes differ significantly from those of any naturally occurring protein, they have demonstrated remarkable efficacy in laboratory experiments. In other words, using state-of-the-art technology,…

Read More AI Proteins: Unlocking the Potential of Protein Generation from Scratch with Natural Language Model “ProGen”
AI | Bioinformatics | Cancer Research | Computational Models | Deep Learning | News | Precision Medicine | Trending

Revolutionizing Healthcare: Federated Learning Deployed Across Hospitals to Train Deep Learning Models Securely
ByDr. Tamanna Anwar January 21, 2023January 21, 2023

Owkin, an AI biotech company, has successfully used federated learning (FL) for the first time to train deep learning models on histopathology data from multiple hospitals without the need for the data to be transferred outside of hospital security systems. This groundbreaking achievement was reported in a study published in Nature Medicine. The unveiling of this…

Read More Revolutionizing Healthcare: Federated Learning Deployed Across Hospitals to Train Deep Learning Models Securely
AI | Algorithm | Bioinformatics | Cancer Research | Chronic Diseases | Deep Learning | Disease Diagnosis | Documentaries | Neural Network | News | Precision Medicine | Trending

Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases
ByDr. Tamanna Anwar January 20, 2023January 20, 2023

According to a recent study from Karl Landsteiner University of Health Sciences (KL Krems), using radiomics and deep learning algorithms can quickly and accurately distinguish between glioblastoma (primary tumors) and brain metastases. The study, which was published in Metabolites, discovered that magnetic resonance-based radiological data of tumor oxygen metabolism provide a solid foundation for discrimination via…

Read More Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases
AI | Bioinformatics | COVID-19 | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Trending

ImageMol – A Powerful Self-supervised Image Representation Learning Framework for Accurate Prediction of Molecular Properties and Drug Targets
ByCatherene Tomy January 19, 2023October 22, 2026

Scientists from Case Western Reserve University, Cleveland, USA, developed a self-supervised image representation learning framework, “ImageMol,” for predicting molecular properties and drug targets with high accuracy, making it a valuable tool for computational drug discovery. Imagine we belong to the incredibly lazy bunch that uses a pre-made pizza crust that would probably make every Italian…

Read More ImageMol – A Powerful Self-supervised Image Representation Learning Framework for Accurate Prediction of Molecular Properties and Drug Targets
AI | Bioinformatics | Drug Discovery | News | Trending

BioNTech’s Acquisition of InstaDeep Set to Revolutionize AI-Powered Drug Discovery, Design, and Development
ByDr. Tamanna Anwar January 18, 2023October 22, 2026

BioNTech, a leading biopharmaceutical company, has announced plans to fully acquire InstaDeep, an artificial intelligence company specializing in drug discovery, design, and development. This acquisition will allow BioNTech to cement its position as a leader in AI-powered drug development. The two companies hope to drive innovation and improve patient care by combining BioNTech’s expertise in…

Read More BioNTech’s Acquisition of InstaDeep Set to Revolutionize AI-Powered Drug Discovery, Design, and Development
AI | Big Data | Bioinformatics | Computational Models | Gene Expression | Genomics | News | OMICS | Tools | Transcriptomics | Trending

Meet SPICEMIX: A Machine Learning Approach for Improved Cell Identity Understanding
ByDr. Tamanna Anwar January 15, 2023January 15, 2023

Scientists from Carnegie Mellon University developed SPICEMIX, a machine learning method that allows researchers to better understand the contribution of various spatial patterns to gene expression in complex tissues such as the brain. The study reporting the SPICEMIX method was featured as the main story in the latest edition of Nature Genetics. Genes that are activated…

Read More Meet SPICEMIX: A Machine Learning Approach for Improved Cell Identity Understanding
AI | Big Data | Bioinformatics | Chronic Diseases | News | Trending

Digital Twins Unlock the Key to New Biomarker Discovery for Atherosclerosis
ByDr. Tamanna Anwar January 14, 2023January 18, 2023

A recent study utilized digital twin technology to identify new markers for atherosclerotic coronary artery disease (ASCAD). The study was conducted by G3 Therapeutics, a specialist in multi-omics, and Aitia, an AI company with Gemini Digital Twin technology. The study indicates that triglyceride-rich LDL particles may be a unique biomarker for ASCAD and may also…

Read More Digital Twins Unlock the Key to New Biomarker Discovery for Atherosclerosis
AI | Bioinformatics | Cancer Research | Machine Learning | News | Trending

Revolutionizing Cancer Detection: A New Database Maps Proteins that could Predict Cancer Types
ByDr. Tamanna Anwar January 12, 2023January 12, 2023

The ability to predict cancer has advanced with the recent release of a new database that includes information on cancer proteins and was developed using artificial intelligence and machine learning techniques. Professor Mathias Uhlén from the KTH Royal Institute of Technology revealed the launch of the Disease Blood Atlas, which offers a pioneering map displaying…

Read More Revolutionizing Cancer Detection: A New Database Maps Proteins that could Predict Cancer Types
AI | Bioinformatics | Cancer Research | Chemoinformatics | Chronic Diseases | Computational Models | COVID-19 | Covid-19 News | Drug Discovery | Machine Learning | News | Trending

Speeding Up Drug Formulation Development: Harnessing the Power of Machine Learning
ByDr. Tamanna Anwar January 11, 2023October 22, 2026

Scientists at the University of Toronto advanced drug formulation development by utilizing machine learning techniques to predict and guide the design of long-acting injectable drugs. Through the use of these algorithms, the scientists were able to predict the release of drugs from advanced delivery systems and use this information to inform the design of new…

Read More Speeding Up Drug Formulation Development: Harnessing the Power of Machine Learning
AI | Bioinformatics | Deep Learning | Metagenomics | News | OMICS | Paper Summary | Precision Medicine | Trending

Exploring Type 2 Diabetes Drug-Omics Associations Using Deep Learning Models
ByRiya Vishwakarma January 6, 2023January 20, 2023

Multiple omics technologies may be used in biological cohorts to identify patient-level disease features and unique treatment responses. The size and heterogeneity of the multi-modal data, however, constitute integrating and inference a challenging challenge. Multi-omics variational autoencoders (MOVE), a deep-learning-based framework created by researchers from the University of Copenhagen and Copenhagen Research Center, was used…

Read More Exploring Type 2 Diabetes Drug-Omics Associations Using Deep Learning Models
AI | Bioinformatics | Computational Models | Deep Learning | Disease Diagnosis | Health | News | Trending

Meet DeepMosaic: A Computer Program that ‘Learns’ to Identify Mosaic Mutations Causing Disease
ByDr. Tamanna Anwar January 5, 2023April 6, 2023

Scientists from the University of California San Diego School of Medicine and Rady Children’s Institute for Genomic Medicine have developed a method “DeepMosaic” for identifying mosaic mutations using deep learning. The process involves training a model to analyze large amounts of genomic data and recognize patterns associated with mosaic mutations. The researchers hope that this…

Read More Meet DeepMosaic: A Computer Program that ‘Learns’ to Identify Mosaic Mutations Causing Disease
AI | Bioinformatics | Cancer Research | Computational Models | Machine Learning | Neural Network | News | Paper Summary | Trending

Meet GCNCPR-ACPs: An Innovative Model for Predicting Anticancer Peptides Based on Graph Convolution Network
ByRiya Vishwakarma January 2, 2023January 2, 2023

Researchers at the School of Informatics, Xiamen University, China, and Computational Health Informatics Program, Boston Children’s Hospital, USA developed the GCNCPR-ACPs method to effectively capture different levels of node attributes for amino acid node representation learning. GCNCPR-ACPs (a Graph Convolution Neural Network Method is a new machine learning-based method based on collapse pooling and residual…

Read More Meet GCNCPR-ACPs: An Innovative Model for Predicting Anticancer Peptides Based on Graph Convolution Network
AI | Bioinformatics | Deep Learning | Disease Diagnosis | Health | News | Trending

OpenAI’s ChatGPT: A Promising AI Tool for Early Detection of Alzheimer’s Disease
ByDr. Tamanna Anwar December 30, 2022December 31, 2022

Researchers at Drexel University’s School of Biomedical Engineering, Science, and Health Systems have found that ChatGPT, an AI-powered chatbot program, may be able to detect early signs of Alzheimer’s disease. In a study, the program analyzed conversations between individuals with Alzheimer’s disease and healthy controls and was able to accurately identify those with the disease…

Read More OpenAI’s ChatGPT: A Promising AI Tool for Early Detection of Alzheimer’s Disease
AI | Algorithm | Bioinformatics | Deep Learning | Machine Learning | News | Trending

AI-Powered Dementia Detection: A Digital Solution for Identifying Undiagnosed Cases
ByDr. Tamanna Anwar December 24, 2022December 24, 2022

Scientists from the Regenstrief Institute, IUPUI, Indiana University, and the University of Miami are using Artificial Intelligence to identify undiagnosed cases of dementia in primary care settings as part of the Digital Detection of Dementia (D3) study. The study aimed to improve the timely diagnosis of dementia and provide diagnostic services to those who have…

Read More AI-Powered Dementia Detection: A Digital Solution for Identifying Undiagnosed Cases
AI | Bioinformatics | Education | Facts | Learn Bioinformatics | Machine Learning | News | NGS | OMICS | Sequencing | Trending

MACHINE LEARNING FOR BIOMARKER DISCOVERY USING NGS DATA
ByCatherene Tomy December 21, 2022December 5, 2023

In this article, we will be exploring how machine learning (ML) techniques can be used to identify and analyze biomarkers from next generation sequencing (NGS) data. Biomarkers are specific biological molecules or characteristics that can be used to identify the presence or severity of a particular disease or condition. They play a crucial role in…

Read More MACHINE LEARNING FOR BIOMARKER DISCOVERY USING NGS DATA
AI | Bioinformatics | Computational Models | Deep Learning | Drug Discovery | News | Paper Summary | Trending

Scientists Develop Deep Learning Models for RNA Degradation Prediction via Crowdsourcing, Critically Important for Stable RNA Therapeutics
ByCatherene Tomy December 18, 2022December 17, 2022

Scientists at the University of Stanford display the potential of crowdsourcing in accelerating and enhancing the research process. The study utilized two crowdsourcing platforms, Eterna and Kaggle, to design the RNA input and develop models that predict their degradation profile to aid in the design of stable mRNA therapeutics. The intrinsic instability that causes self-destruction…

Read More Scientists Develop Deep Learning Models for RNA Degradation Prediction via Crowdsourcing, Critically Important for Stable RNA Therapeutics
AI | Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Machine Learning | News | Paper Summary | SARS-CoV-2 | Trending

Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
ByRiya Vishwakarma December 17, 2022December 17, 2022

A study from Florida Atlantic University used machine learning to provide new evidence for understanding how molecular tests and serology tests are correlated and what features are most useful in COVID-19 testing. This could be useful in helping healthcare providers prioritize testing and treatment for patients most likely to have the virus. Severe Acute Respiratory…

Read More Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
AI | Bioinformatics | Biomedical Engineering | Cancer Research | Machine Learning | News | Paper Summary | Trending

Federated Machine Learning Powers the Biggest Brain Tumor Study to Date while Protecting Patient’s Data
ByCatherene Tomy December 8, 2022December 8, 2022

Federated machine learning enables the largest brain tumor study ever conducted without sharing patient data by allowing researchers to securely analyze distributed datasets while maintaining data privacy. The breakthrough research from Penn Medicine and Intel Corporation published in Nature Communications has the potential to revolutionize medical research and improve our understanding of brain tumors. It also provides…

Read More Federated Machine Learning Powers the Biggest Brain Tumor Study to Date while Protecting Patient’s Data
AI | Bioinformatics | COVID-19 | News | Paper Summary | SARS-CoV-2 | Trending

Meet GenSLMs, A Genome-Level AI Model That Helps Track COVID Variants’ Evolution
ByShwetha S December 4, 2022December 4, 2022

Argonne National Laboratory researchers, together with partners from six different universities, NVIDIA, and Cerebras Inc., have collaborated to create GenSLMs, that learn the evolutionary landscape of the SARS-CoV2 genome using large language models (LLMs) resources. The Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research in 2022 has been awarded to GenSLMs. Rapid sequencing…

Read More Meet GenSLMs, A Genome-Level AI Model That Helps Track COVID Variants’ Evolution
AI | Big Data | Bioinformatics | Genomics | Health | News | OMICS | Precision Medicine | Trending

Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A Comprehensive Service for Storing, Querying, and Analyzing Genomic and Biological Big Data
ByDr. Tamanna Anwar December 3, 2022December 3, 2022

Amazon Omics is a purpose-built service from Amazon Web Services (AWS) that enables customers to store, query, and analyze genomic and biological data at scale. It offers fast, secure, and cost-effective storage, access, and analysis of large datasets, allowing customers to gain insights from their data and accelerate research quickly. Amazon Omics is designed to…

Read More Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A Comprehensive Service for Storing, Querying, and Analyzing Genomic and Biological Big Data
AI | Bioinformatics | Computational Models | Machine Learning | News | Paper Summary

Scientists Develop a Machine Learning Model ‘DxFormer’ for Automated Disease Diagnosis
ByShwetha S December 2, 2022December 2, 2022

Fudan University researchers introduced DxFormer, a new automatic diagnostic framework in which each symptom is regarded as a token, formalizing symptom inquiry and disease diagnosis to a language generation model and a sequence classification model, respectively. The decoder encoder structure, an inverted version of Transformer, was utilized to learn the representation of symptoms by jointly…

Read More Scientists Develop a Machine Learning Model ‘DxFormer’ for Automated Disease Diagnosis
AI | Bioinformatics | Deep Learning | Neural Network | News | Paper Summary | Trending

ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning
ByRiya Vishwakarma November 27, 2022January 20, 2024

A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a gene-specific manner. Despite significant sequence divergence from natural DNA, in vivo measurements reveal that 57% of the synthetic sequences with high expression levels outperform the expression levels of the correspondingly highly…

Read More ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning
AI | Bioinformatics | Cancer Research | Machine Learning | News | Trending

Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection of Liver Cancer
ByDr. Tamanna Anwar November 22, 2022November 22, 2022

Johns Hopkins Kimmel Cancer Center researchers developed and used artificial intelligence blood testing technology. The new blood testing technology detected liver cancer in more than 80% of participants in a study of 724 people. The technology, which uses a machine learning algorithm to analyze blood samples, showed promise in a previous study for detecting lung…

Read More Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection of Liver Cancer
AI | Bioinformatics | News | Paper Summary | Structural Biology | Trending

FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins
ByRiya Vishwakarma November 21, 2022November 21, 2022

AlphaFold, a machine learning system developed by Google DeepMind, can predict the three-dimensional structures of proteins with unprecedented accuracy, leading to a better understanding of how these structures relate to function. The researchers from USDA-ARS describe a methodology “Functional Annotations using Sequence and Structure Orthology (FASSO),” which takes advantage of AlphaFold along with sequence and…

Read More FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins
AI | Algorithm | Bioinformatics | Chronic Diseases | Health | News | Trending

Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence
ByDr. Tamanna Anwar November 20, 2022November 23, 2022

A new study published by researchers at the Mayo Clinic has shown that a smartwatch ECG can accurately detect heart failure in nonclinical environments. This is a significant breakthrough because it shows that heart failure can now be detected earlier and more effectively. The research published in Nature Medicine reports a couple of health technology…

Read More Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence

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