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Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced Medical Imaging
BySipra Das May 10, 2023May 21, 2023

Recent achievements in the field of artificial intelligence (AI) have helped to develop effective medical imaging frameworks that can achieve professional clinical expertise. However, they often generated inadequate outputs while assessing clinical data, which was different from the training data. Google researchers and collaborators at the Georgia Institute of Technology and Northwestern University have proposed a new…

Read More Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced Medical Imaging
Algorithm | Bioinformatics | GWAS | Health | Medical Informatics | News | Paper Summary | Trending

Broad’s Scientist Introduce a Machine Learning Model to Identify Genetic Factors for Cardiovascular Diseases
BySipra Das May 3, 2023May 7, 2023

Using the heart as an investigational model, scientists at the Broad Institute of MIT and Harvard have designed an autoencoder-based machine-learning pipeline that can effectively predict a patient’s heart condition based on image data from ECGs and MRIs. The approach could also be used to detect markers related to cardiovascular diseases. Nearly all areas of…

Read More Broad’s Scientist Introduce a Machine Learning Model to Identify Genetic Factors for Cardiovascular Diseases
AI | Bioinformatics | COVID-19 | Covid-19 News | Health | Machine Learning | News | Paper Summary | SARS-CoV-2 | Trending

Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using Machine Learning Platform ‘RAVEN’
ByBanhita Maitra April 21, 2023April 22, 2023

Scientists from Denmark and Pennsylvania have developed a machine learning-based platform, RAVEN, that is able to design T-cell vaccines for COVID-19. These vaccines are expected to last longer than the currently available ones, thereby providing immunity against future variants of concern (VOCs). The in-silico approach for locating and selecting relevant immunogenic T-cell regions in the SARS-Cov-2 genome…

Read More Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using Machine Learning Platform ‘RAVEN’
AI | Bioinformatics | Disease Diagnosis | GWAS | Health | News | Trending

Deep Learning on Retinal Images: Google’s Aging Clock ‘eyeAge’ Unlocks the Secrets of Aging
ByBanhita Maitra April 18, 2023April 18, 2023

Google scientists have developed a novel aging clock based on retinal images using deep learning techniques called “eyeAge.” The biological clock is often said to vary from chronological age for an individual and has been previously studied extensively using predictive aging clocks based on biomarkers such as DNA methylation. These often require blood samples and…

Read More Deep Learning on Retinal Images: Google’s Aging Clock ‘eyeAge’ Unlocks the Secrets of Aging
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 | 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
Bioinformatics | Health | News | Paper Summary | RNA-Seq | Trending

Scientists Introduce Integrated-gut-liver-on-a-chip ‘iGLC’ Platform: an Innovative Human Model for Non-Alcoholic Fatty Liver Disease
ByBanhita Maitra March 26, 2023June 14, 2023

Scientists from Kyoto University, Japan, have developed an integrated gut-liver-on-a-chip platform as an in-vitro human model for the study of non-alcoholic fatty liver disease (NAFLD). The authors co-cultured human gut and liver cells and connected them via microfluidics to mimic the human gut-liver axis (GLA). The gut and liver mimicking co-cultured cells exhibit protective effects…

Read More Scientists Introduce Integrated-gut-liver-on-a-chip ‘iGLC’ Platform: an Innovative Human Model for Non-Alcoholic Fatty Liver Disease
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 | 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 | 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 | 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 | 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
Bioinformatics | Chronic Diseases | Genomics | GWAS | Health | News | OMICS | Paper Summary | Sequencing | Trending

Exploring the Intersection of Genomics and Phenomics in the Study of Body Mass Index Reveals a Complex Disease Network
ByRiya Vishwakarma January 8, 2023January 20, 2023

The relationship between Body Mass Index (BMI) and several health issues that have an influence on morbidity and mortality has been the focus of research by epidemiologists and scientists with roots in China and the USA. The possibility to further our understanding of the breadth and depth of illnesses connected to obesity exists in the…

Read More Exploring the Intersection of Genomics and Phenomics in the Study of Body Mass Index Reveals a Complex Disease Network
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 | 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
Bioinformatics | Health | Infectious Diseases | Machine Learning | News | Tools | Trending

Identifying Imported Plasmodium vivax Malaria Using Molecular Barcoding and Web-Based Data Analysis
ByRiya Vishwakarma December 26, 2022December 26, 2022

Researchers from Indonesia and Australia have developed a molecular barcode and a web-based data analysis tool to identify and track imported cases of Plasmodium vivax malaria. Using a unique molecular identifier, the tool can accurately detect the presence of P. vivax in samples and provide important information for the prevention and treatment of the disease….

Read More Identifying Imported Plasmodium vivax Malaria Using Molecular Barcoding and Web-Based Data Analysis
Bioinformatics | Biomedical Engineering | Cancer Research | Drug Discovery | Health | News | RNA-Seq | Trending

Exploring the Potential of Combination Therapy: Utilizing Engineered Bacterial Therapeutics and Traditional Cancer Treatments for Improved Non-Small Cell Lung Cancer Outcomes
ByDr. Tamanna Anwar December 25, 2022December 27, 2022

According to researchers at Columbia Engineering, they have developed a preclinical evaluation pipeline for assessing the effectiveness of bacterial therapies in lung cancer models. In the new study, published in Scientific Reports, the researchers combined bacterial therapies with other treatment methods in order to improve treatment outcomes without increasing toxicity. This approach allowed for the rapid…

Read More Exploring the Potential of Combination Therapy: Utilizing Engineered Bacterial Therapeutics and Traditional Cancer Treatments for Improved Non-Small Cell Lung Cancer Outcomes
Biomedical Engineering | Featured | Health | News | Trending

3D Bioprinting Takes Eye Tissue Engineering to New Heights at NIH
ByDr. Tamanna Anwar December 23, 2022December 23, 2022

Scientists at the National Eye Institute (NEI), part of the National Institutes of Health, have made a significant advancement in the field of 3D bioprinting by successfully creating functional eye tissue using this innovative technique. The potential for this development to revolutionize the treatment of eye conditions and diseases is vast, and further research will…

Read More 3D Bioprinting Takes Eye Tissue Engineering to New Heights at NIH
Bioinformatics | Cancer Research | Covid-19 News | Drug Discovery | Health | News | Paper Summary | RNA-Seq | Trending

Human Cell Atlas Mission: A Reference Map for Analyzing Human Health and Identifying, Tracking, and Treating Diseases
ByRiya Vishwakarma December 15, 2022October 22, 2026

In order to better understand human health and to identify, track, and cure diseases, the International Human Cell Atlas collaboration is building detailed reference maps of every human cell, which is life’s basic building block. The Human Cell Atlas aims to map every type of cell in the human body, revolutionizing how we understand biology…

Read More Human Cell Atlas Mission: A Reference Map for Analyzing Human Health and Identifying, Tracking, and Treating Diseases
Bioinformatics | Computational Models | Health | News | Paper Summary | Precision Medicine | Trending

MIT Researchers Used Large Language Models to Decode Clinical Health Records in Few Shots
ByRiya Vishwakarma December 7, 2022December 25, 2023

Researchers from MIT CSAIL employed a potent deep-learning model to extract crucial information from electronic health records that might help with personalized medicine. The adoption of electronic health records aims to enhance and simplify healthcare. Beyond the purview of clinical trials, the vast quantity of data in these now-digital records might be utilized to address…

Read More MIT Researchers Used Large Language Models to Decode Clinical Health Records in Few Shots
Bioinformatics | Health | News | Paper Summary | Tools | Trending

UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities
ByShwetha S December 6, 2022December 6, 2022

Researchers at University College London discovered multimorbidity and comorbidity illness trends using a dataset spanning 3.8 million patients in England. Patients and clinicians can use the study findings and interactive online tools to prevent and detect comorbid conditions. In contrast, biomedical researchers and pharmaceutical manufacturers can use them to provide lead compounds targeting common or…

Read More UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities
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
Bioinformatics | Chronic Diseases | Computational Models | Health | Machine Learning | News | Paper Summary | Trending

Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus
ByRiya Vishwakarma November 25, 2022November 25, 2022

Researchers at AstraZeneca and Ono Pharmaceuticals sought to create a model that could predict the likelihood that individuals with Type 2 Diabetes Mellitus (T2DM) who had no prior history of CKD or CVDs would develop CKD/HF. Using the prediction model, it would be possible to identify individuals with T2DM who are at a high risk…

Read More Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus
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
Bioinformatics | COVID-19 | Health | Machine Learning | News

Multidimensional Semantic Scan – A Presyndromic Surveillance Approach For Screening Potential Public Health Threats
ByShwetha S November 11, 2022November 11, 2022

Researchers from New York University, Carnegie Mellon University, and the New York City Health Department have joined forces to develop an automated machine-learning approach that detects new, upcoming health threats from local health department complaints and disease cluster data. Diseases emerge from a variety of situations that, in turn, pose a huge threat to public…

Read More Multidimensional Semantic Scan – A Presyndromic Surveillance Approach For Screening Potential Public Health Threats
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Trending

Deep Learning Algorithms – the Future of Medical Imaging?
ByDr. Tamanna Anwar November 6, 2022November 6, 2022

Research presented at the 2022 World Cancer Congress shows that deep learning algorithm outperformed radiologists in detecting head and neck cancer spread. The algorithm was able to detect small areas of cancer spread that were not detected by the radiologists. This is a potentially important finding, as early detection of cancer spread can lead to…

Read More Deep Learning Algorithms – the Future of Medical Imaging?
Bioinformatics | Genomics | GWAS | Health | News | Paper Summary

A New Approach ‘HI-CNV’ Elucidates the Effects of Copy Number Variation on Human Genome and Health
ByMahi Sharma November 3, 2022November 4, 2022

A team of researchers from the Broad Institute of MIT and Harvard, Brigham and Women’s Hospital, and Harvard Medical School has demonstrated a computational technique called Hi-CNV to identify millions of copy number variants harboring in the human genome and link them to health-related traits such as height, lipid levels, and bone density by imposing…

Read More A New Approach ‘HI-CNV’ Elucidates the Effects of Copy Number Variation on Human Genome and Health
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Paper Summary | Trending

Researchers Introduced a Deep Learning-based Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue
ByMahi Sharma November 1, 2022November 2, 2022

Evident with the increasing cost and laborious work of diagnosis of cancer, using the gold standard Immunohistochemical (IHC) staining of tissues. Researchers from the University of California, Los Angeles, described a label-free virtual HER2 IHC staining based on a deep learning method. Introduction Immunohistochemical staining of cancer tissues, such as the HER2 biomarker, is widely…

Read More Researchers Introduced a Deep Learning-based Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue
AI | Bioinformatics | Computational Models | Deep Learning | Health | News | Paper Summary | Trending

Artificial Intelligence Accurately Predicts Patient’s Race from Medical Images – Can Lead to Unintentional Bias, Warns Scientists
ByShwetha S October 22, 2022October 22, 2022

According to the study by Prof. Judy Gichoya of Emory University, the standard deep learning models effectively predicted the patient’s race using only diagnostic images like X-rays, CT scans, and mammograms, even when the images were heavily altered, cropped, or noised. Studies have shown that AI deep learning models mimic the unconscious racial bias and…

Read More Artificial Intelligence Accurately Predicts Patient’s Race from Medical Images – Can Lead to Unintentional Bias, Warns Scientists
Bioinformatics | Health | News | Paper Summary | Trending

Novel EEG Phenotyping to Identify Neurological Disease from Sleep Brainwaves
ByMahi Sharma October 21, 2022October 21, 2022

Investigators from Brigham and Women’s Hospital developed a novel approach to identify time-frequency peaks from sleep brain waves revealing heterogeneity between both healthy and neurologically diseased subjects. The approach provides fingerprint identification unique to each individual and identifies the potential for neurodegenerative disease phenotyping and biomarker identification. Introduction Traditionally, the identification of brainwaves in the…

Read More Novel EEG Phenotyping to Identify Neurological Disease from Sleep Brainwaves
Bioinformatics | Cancer Research | COVID-19 | GWAS | Health | News | NGS | Paper Summary | RNA-Seq | Transcriptomics | Trending

Single-cell RNA Sequencing and GWAS Data Integration Discover New Disease Cell Types and Pathways
ByShwetha S October 18, 2022October 18, 2022

A brand-new framework called sc-linker has been proposed by researchers from the Broad Institute of MIT and Harvard that connects human illness and phenotypes to different cell types and physiological processes. This is done by integrating Genome-Wide Association Studies summary statistics, epigenomic data, and single-cell RNA (scRNAseq) sequence data from multiple tissues, cells, diseases, and…

Read More Single-cell RNA Sequencing and GWAS Data Integration Discover New Disease Cell Types and Pathways
Bioinformatics | Drug Discovery | Health | News | Paper Summary | Trending

DrugRep: An Automated and Parameter-Free Virtual Screening Tool for Drug Repurposing
ByMahi Sharma October 15, 2022October 22, 2026

Drug repurposing has been strategically used to modulate the usage of pre-existing drugs. The virtual screening tool DrugRep facilitates computational screening using both receptor and ligand-based methods. Being freely available, it provides the unstinted potential for repurposing and investing in current pharmacology. Historically, introducing novel drugs bears challenges in terms of exploring and introducing them…

Read More DrugRep: An Automated and Parameter-Free Virtual Screening Tool for Drug Repurposing
Big Data | Bioinformatics | Health | Machine Learning | News | Paper Summary | Trending

Insurance Claim Data and Machine Learning Aids in the Early Detection of Autism Spectrum Disorder
ByShwetha S October 14, 2022October 14, 2022

Researchers from Pennsylvania State University have put forth a novel machine-learning approach to help predict Autism Spectrum Disorder in children at a very young age, between 18 to 30 months. Such early detection can vastly help both the patients and the clinicians to improve treatment outcomes. The authors define Autism Spectrum Disorder (ASD) as a…

Read More Insurance Claim Data and Machine Learning Aids in the Early Detection of Autism Spectrum Disorder
Bioinformatics | Cancer Research | Computational Models | Health | Machine Learning | News | Paper Summary | Trending

A Novel Semi-Supervised Machine Learning Model for Patch-based Breast Cancer Classification
ByShwetha S October 10, 2022October 9, 2022

Researchers from Tartu University have put forth a semi-supervised machine learning framework to detect invasive ductal carcinoma using a small amount of labeled breast cancer histological data. Breast cancer is one of the most common cancers. According to the world health organization (WHO), nearly 2.3 million women worldwide have been affected with breast cancer, with…

Read More A Novel Semi-Supervised Machine Learning Model for Patch-based Breast Cancer Classification
AI | Bioinformatics | Chronic Diseases | Health | Machine Learning | News | Trending

Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in Neurodegenerative Disorders
ByShwetha S October 6, 2022November 24, 2023

Researchers from the MIT-IBM Watson AI lab have developed a new machine learning-based model that recognizes ALS disease progression. The research will help design future clinical trials and discover mechanisms behind the disease. The study also highlights that the model can be extrapolated to other neurodegenerative disorders, like Alzheimer’s and Parkinson’s, to trace disease patterns. Neurodegenerative diseases…

Read More Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in Neurodegenerative Disorders
AMR Alert | Antibiotic Resistance | Bioinformatics | Health | Infectious Diseases | Metagenomics | News | Paper Summary | Trending

Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
ByMahi Sharma October 5, 2022January 8, 2024

Scientists from A*STAR’s Genome Institute of Singapore (GIS) discovered that carbapenemase-producing Enterobacteriaceae (CPE) could hide out among gut bacteria in asymptomatic humans. Long-term research to understand microbiome ecology within the population suggests visible shifts in microbial pathways assisting in the colonization of Enterobacteriaceae favoring CPE (Carbapenemase-producing Enterobacteriaceae ) infections. The study provides imperative insight into…

Read More Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
AI | Bioinformatics | Health | News | Trending

CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images Using Self-supervised Learning
ByDr. Tamanna Anwar September 21, 2022January 26, 2023

The new tool “CheXzero” improves clinical AI design by overcoming the major hurdle of labeling datasets for model training. Scientists at Harvard Medical School and Stanford University have developed an artificial intelligence diagnostic tool that can detect diseases directly from natural language descriptions of chest X-rays. This is a major step forward in clinical AI…

Read More CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images Using Self-supervised Learning
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Precision Medicine | Tools | Trending

Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using Deep Learning Coupled Photon-counting CT
ByDr. Tamanna Anwar September 13, 2022September 13, 2022

Scientists have developed a new CT technique using artificial intelligence (AI) to spot multiple myeloma-related bone diseases, using lower radiation doses than conventional CT, according to a study published in Radiology, a journal of the Radiological Society of North America. After nearly two decades of development, the technology was used in clinical practice in 2021….

Read More Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using Deep Learning Coupled Photon-counting CT
AI | Bioinformatics | Cancer Research | Cloud Computing | Data Science | Facts | Featured | Health | Machine Learning | News | Trending

Top Five Data Science Technologies Transforming Cancer Research
ByDr. Tamanna Anwar September 2, 2022October 22, 2026

Cancer is a disease that affects millions of people worldwide. According to the World Health Organization (WHO), cancer is the second leading cause of death globally, after cardiovascular diseases. In 2018, about 9.6 million deaths were reported due to cancer. The WHO estimates that over 1.8 million people died from cancer in 2017. The number…

Read More Top Five Data Science Technologies Transforming Cancer Research
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Trending

Clinical Validation of Deep Learning Algorithm to Simplify Lung Cancer Radiotherapy Treatment
ByDr. Tamanna Anwar August 29, 2022August 29, 2022

Nearly half of the cases of the most common cancer worldwide, lung cancer, are treated with radiation therapy (RT). RT planning is a time-consuming, resource-intensive process that can take days to weeks to complete, and even highly trained doctors disagree on how much tissue to target with radiation. Furthermore, as cancer rates rise, a global…

Read More Clinical Validation of Deep Learning Algorithm to Simplify Lung Cancer Radiotherapy Treatment
Bioinformatics | Health | News | Trending

Interactome of the Dementia Protein ‘Tau Protein’ Reveals its Role in Normal Memory
ByDr. Tamanna Anwar August 24, 2022December 28, 2022

According to new research from Flinders University, the tau protein, which plays a critical role in the development of Alzheimer’s disease, is also involved in normal learning processes in the healthy brain, potentially providing a target for future drug therapies. The researchers discovered that the tau protein, whose role has long been unknown, may aid…

Read More Interactome of the Dementia Protein ‘Tau Protein’ Reveals its Role in Normal Memory
Bioinformatics | Cancer Research | Chronic Diseases | Health | News | Paper Summary | Proteomics | Transcriptomics | Trending

Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
ByTanveen Kaur August 21, 2022October 22, 2026

Scientists from the Central South University, China, developed a novel Tumor Treating Fields ‘TTFields’ system named “CL-301A” and showcase its efficacy in the suppression of glioblastoma cell proliferation and induction of cell apoptosis. One of the most dangerous types of brain cancer is glioblastoma. The most recent method of treating glioblastoma (GBM) is called tumor…

Read More Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
Bioinformatics | Biomedical Engineering | Corona Virus | COVID-19 | Covid-19 News | Health | Infectious Diseases | Machine Learning | News | Paper Summary | Trending

Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
ByTanveen Kaur August 19, 2022August 19, 2022

Universitas Gadjah Mada, Indonesia, scientists developed a low-cost, non-invasive method to rapidly sniff out COVID-19 by using an electronic nose named “GeNose C19”. The method of RT-qPCR, which stands for a reverse transcription-quantitative polymerase chain reaction, has been widely utilized to identify the SARS-CoV-2 virus that causes COVID-19. However, clinicians frequently prefer to use a…

Read More Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
AI | Bioinformatics | Health | News | Paper Summary | Trending

Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
BySrishti Sharma August 18, 2022August 18, 2022

Scientists from The City University of New York present a protocol for collecting and analyzing data for KBG syndrome that emphasizes the use of videoconference and artificial intelligence (AI). Based on this information, the authors make recommendations for diagnostic and treatment approaches for KBG syndrome. The study reports 25 previously unpublished individuals from 22 families…

Read More Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Paper Summary | Trending

Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
ByTanveen Kaur August 14, 2022December 28, 2022

Scientists present an interpretable, loosely guided, multimodal deep learning strategy for cancer prognosis, which also investigates the use of multimodal interpretability to describe how WSI and molecular characteristics affect risk. The objective prognostic models that can be created from histology pictures have shown promise in the quickly evolving field of computational pathology. Most prognostic models,…

Read More Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
Bioinformatics | Corona Virus | COVID-19 | Deep Learning | Drug Discovery | Health | Infectious Diseases | News | Paper Summary | Structural Biology | Trending

Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
BySrishti Sharma August 6, 2022October 22, 2026

Since the first appearance of SARS-CoV-2, a number of in silico methods have been employed to discover possible drugs that can target the viral life cycle. Scientists from National Research Centre, Egypt, targeted Endoribonuclease, which is one of the crucial non-structural proteins since it is responsible for processing viral RNA to escape detection by the…

Read More Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
Bioinformatics | Health | News | OMICS | Paper Summary | Transcriptomics | Trending

Unveiling Specific Functions of Novel lncRNA Gm20743 using Whole-transcriptome Landscape of Diabetes-related Sarcopenia
ByTanveen Kaur August 5, 2022August 5, 2022

Scientists perform the whole-transcriptome RNA sequencing and informatics of diabetes-induced sarcopenia model of db/db mice to illustrate the specific function of novel lncRNA Gm20743. Type 2 diabetes mellitus raises the risk of sarcopenia, which is characterized by decreased muscle mass, strength, and function, although the specific process is yet unknown. RNA whole-transcriptome sequencing and informatics…

Read More Unveiling Specific Functions of Novel lncRNA Gm20743 using Whole-transcriptome Landscape of Diabetes-related Sarcopenia
AI | Bioinformatics | Health | News | Virtual Reality

Decoding Scene Prediction by the Human Brain and its Confidence During Virtual Reality Maze Exploration
ByDr. Tamanna Anwar August 4, 2022August 4, 2022

Kyoto University scientists have discovered that they can decode from brain activity the subjects’ capacities to forecast their placements and scenes within the labyrinth, as well as the degree of confidence in their predictions, using partial-observation mazes in virtual reality (VR). Imagine a future in which a disaster completely destroys someone’s hometown. How quickly could…

Read More Decoding Scene Prediction by the Human Brain and its Confidence During Virtual Reality Maze Exploration

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Decoding Scene Prediction by the Human Brain and its Confidence During Virtual Reality Maze Exploration

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