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

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Top 10 Applications of Artificial Intelligence in Healthcare
ByAnjali Soni May 11, 2022December 28, 2022

Top 10 Applications of Artificial Intelligence in Healthcare in 2022 and Beyond The healthcare industry has always been one of the leaders in using technology to make lives better and more efficient. Artificial intelligence (AI) in healthcare has started to enter the market, but it’s not just used as an additional tool — it’s transforming…

Read More Top 10 Applications of Artificial Intelligence in Healthcare
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Paper Summary

Deep Neural Network Based 3D Reconstruction of Cellular Images to Track Real-Time Response of Tissues to Cancer Therapy
ByTanveen Kaur May 8, 2022November 9, 2022

Microscopic imagers may be used in oncology to track and observe cell motions and dynamics, indicating tissues’ real-time response to therapy. Scientists from the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, reconstruct cellular images in 3D from microfabricated imagers using fully-adaptive deep neural networks. This research is the first work that…

Read More Deep Neural Network Based 3D Reconstruction of Cellular Images to Track Real-Time Response of Tissues to Cancer Therapy
AI | Algorithm | AMR Alert | Chemoinformatics | Drug Discovery | Health | News

Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful Drugs
ByDr. Tamanna Anwar May 7, 2022October 22, 2026

The widespread use of computational waste-to-value algorithms can speed up the productive reuse of chemicals that would otherwise incur storage or disposal expenses or even pose environmental risks. Scientists from the Ulsan Institute of Science and Technology, Republic of Korea, have developed an innovative strategy to repurpose waste chemicals into usable products using artificial intelligence…

Read More Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful Drugs
AI | Bioinformatics | Machine Learning | News | Paper Summary | Precision Medicine | Trending

A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision Medicine
ByTanveen Kaur May 4, 2022November 9, 2022

A new precision medicine tool ‘iSNP’ uncovers hidden genetic links that could enhance IBD and other difficult illnesses treatment. A group of scientists and clinicians from the Quadram Institute, the Earlham Institute, the Norfolk and Norwich University Hospital, and the University of East Anglia with collaborators in Cambridge, London and Leuven (Belgium) developed a systems…

Read More A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision Medicine
AI | Bioinformatics | Cancer Research | Computational Models | Health | News | Precision Medicine | Tools | Trending

Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer Treatment
ByDr. Tamanna Anwar April 26, 2022June 18, 2022

Consultation with a machine learning tool helped providers determine more accurately whether patients had a complete response to chemotherapy. Scientists from the University of Michigan investigated the impact of a computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians’ diagnostic accuracy in measuring bladder cancer treatment response. The CDSS-T has the potential to increase…

Read More Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer Treatment
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Paper Summary | Trending

Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques
ByTanveen Kaur April 20, 2022November 9, 2022

The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis, prognosis, therapy prediction, and how bioinformatics tools like machine learning and deep learning can help in the clinic. The findings are expected to improve prostate cancer patient clinical care by applying…

Read More Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques
AI | Bioinformatics | Biomedical Engineering | Cancer Research | Deep Learning | News | Tools | Trending

The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of Reproducibility in the Breast Cancer Literature
ByDr. Tamanna Anwar April 12, 2022June 18, 2022

Scientists from the University of Cambridge have used a medley of automated text analysis and the ‘robot scientist – Eve’ to semi-automate the procedure of reproducing research results. The lack of reproducibility is one of the biggest crises facing modern science. Scientific findings should be not only ‘replicable’ (i.e., reproducible in the same lab under…

Read More The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of Reproducibility in the Breast Cancer Literature
AI | Bioinformatics | Computational Models | Deep Learning | Neural Network | News | Paper Summary

IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks
ByTanveen Kaur April 10, 2022November 9, 2022

The IBM Research – Zurich, scientists proposed a novel biologically-inspired optimizer for artificial and spiking neural networks that consolidate key standards of synaptic plasticity seen in cortical dendrites: GRAPES (Group Responsibility for Adjusting the Propagation of Error Signals). The findings pave the way for researchers to bridge the gap between backpropagation and biologically plausible learning…

Read More IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks
AI | Bioinformatics | Computational Models | Data Science | Deep Learning | Drug Discovery | Featured | News | Paper Summary | Structural Biology | Tools | Trending

A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions
ByDr. Tamanna Anwar April 2, 2022October 22, 2026

Scientists from the Center for the Study of Systems Biology, Atlanta, in collaboration with the Georgia Institute of Technology, Atlanta, and Oak Ridge National Laboratory, Oak Ridge, USA, have introduced a new method, ‘AF2complex’, in which AlphaFold2 (AF2) can be used to predict protein complex structure and protein-protein interactions. It is expected to provide significant…

Read More A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions
AI | Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Data Science | Deep Learning | Featured | Machine Learning | Paper Summary | Trending

Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making
ByTanveen Kaur March 23, 2022November 9, 2022

Scientists from Fondazione Poliambulanza Istituto Ospedaliero, Italy, developed a hybrid machine learning/deep learning model to classify patients in two outcome categories, non-ICU, and ICU. With the likelihood score belonging to an outcome class and case-based SHAP interpretation of feature importance, the model intends to give clinical decision support to medical physicians. The scientists devised a…

Read More Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making
AI | AMR Alert | Bioinformatics | Machine Learning | News | Structural Biology | Trending

A Perfect Trio of Crystallography, Cryo-EM and AlphaFold Reveals Information on Important Human Antibacterial Proteins
ByDr. Tamanna Anwar March 14, 2022June 18, 2022

A team led by Karolinska Institutet used artificial intelligence (AI) and structural biology to learn more about two related proteins that protect the urinary tract and the gastrointestinal system from bacterial infection. The findings were published in “Nature Structural & Molecular Biology.” “These findings could in principle be explored to develop a decoy alternative to…

Read More A Perfect Trio of Crystallography, Cryo-EM and AlphaFold Reveals Information on Important Human Antibacterial Proteins
AI | Bioinformatics | Data Science | Deep Learning | Genomics | Machine Learning | Neural Network | News | NGS | Tools | Trending

Scientists from the University of California Developed a Highly Accurate Algorithm ‘La Jolla Assembler (LJA)’ to Scale-up Complete Genome Assembly
ByDr. Tamanna Anwar March 12, 2022June 18, 2022

A team of international researchers led by the University of California San Diego’s Department of Computer Science and Engineering has demonstrated that the La Jolla Assembler (LJA), a new genome assembly algorithm, vastly improves large genome reconstruction, the process of arranging DNA snippets into complete genomes, which is a crucial part of genomic sequencing. Furthermore,…

Read More Scientists from the University of California Developed a Highly Accurate Algorithm ‘La Jolla Assembler (LJA)’ to Scale-up Complete Genome Assembly
AI | Bioinformatics | Biomedical Engineering | Deep Learning | Machine Learning | News | Trending

Different Bacteria Identified in Seconds with ‘Fingerprint’ Machine Learning Technique
ByDr. Tamanna Anwar March 5, 2022June 18, 2022

A platform for separation-free detection of bacteria in arbitrary medium has been developed by the researchers from Korea Advanced Institute of Science and Technology (KAIST), using a synergistic integration of surface-enhanced Raman spectroscopy and deep learning. Bacterial identification can take hours, if not days, to complete, wasting valuable time for diagnosing diseases and choosing treatments….

Read More Different Bacteria Identified in Seconds with ‘Fingerprint’ Machine Learning Technique
AI | Bioinformatics | Biomedical Engineering | Corona Virus | COVID-19 | Covid-19 News | Data Science | Deep Learning | Trending | Virus

Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’ for COVID-19 Detection
ByDr. Tamanna Anwar March 4, 2022June 18, 2022

New software built by Princeton University researchers may determine whether someone is infected with COVID-19 in minutes by combining questions about a person’s health with data from wristwatch sensors. The study led by Niraj Jha, a professor of electrical and computer engineering at Princeton University, resulted in this new diagnostic tool. His group is working…

Read More Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’ for COVID-19 Detection
AI | Bioinformatics | Drug Discovery | Machine Learning | Neural Network | News | Trending

Artificial Intelligence Algorithm Created for ‘Inverse Molecular Designing’ Determines Structure from Function
ByDr. Tamanna Anwar March 1, 2022October 22, 2026

According to recent research published in Nature Communications, a new AI algorithm creates novel compounds based on desired properties. Researchers are searching for innovative chemicals in a variety of fields, including health, battery research, and materials science. They can typically forecast the necessary chemical and physical features in great precision during this process, down to…

Read More Artificial Intelligence Algorithm Created for ‘Inverse Molecular Designing’ Determines Structure from Function
AI | Bioinformatics | Genomics | Health | News | NGS | Trending

Fastest DNA Sequencing that Uses AI and Accelerated Computing Sets Guinness World Record For Completing DNA Sequencing in Just Five Hours and Two Minutes
ByDr. Tamanna Anwar February 27, 2022June 18, 2022

Stanford University researchers established the record in collaboration with NVIDIA, Oxford Nanopore Technologies, Google, Baylor College of Medicine, and the University of California, Santa Cruz. This week, Guinness World Records awarded a Stanford University-led research team the first record for quickest DNA sequencing technology — a benchmark established utilizing a workflow enhanced by AI and…

Read More Fastest DNA Sequencing that Uses AI and Accelerated Computing Sets Guinness World Record For Completing DNA Sequencing in Just Five Hours and Two Minutes
AI | Bioinformatics | Machine Learning | News | Trending

Machine Learning and Artificial Intelligence Based Study Helps Understand How Brain Cells Work
ByDr. Tamanna Anwar February 19, 2022June 18, 2022

Neurons are surprisingly complicated, for something so small, not only because there are billions of them in the brain but also because their function is impacted by a variety of factors such as their structure and genetic composition. A research group led by Daifeng Wang, professor at the University of Wisconsin–Madison, is using machine learning…

Read More Machine Learning and Artificial Intelligence Based Study Helps Understand How Brain Cells Work
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Trending

Artificial Intelligence Based Chemotherapy Response Prediction for Better and Personalized Breast Cancer Treatment
BySwati Yadav February 16, 2022November 8, 2022

Scientists from the York University, Toronto, Canada, investigated a novel deep learning-based methodology to predict breast cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound (QUS) multiparametric imaging at pre-treatment. Breast cancer is the most general type of cancer in women and the leading cause of cancer-related death. Locally advanced breast cancer (LABC) is…

Read More Artificial Intelligence Based Chemotherapy Response Prediction for Better and Personalized Breast Cancer Treatment
AI | Bioinformatics | Deep Learning | Machine Learning | News | Trending

Image2SMILES – A Transformer Based Neural Network Model for Extracting Chemical Formulas From Research Papers
ByDr. Tamanna Anwar February 15, 2022June 18, 2022

The researchers from Syntelly — a startup that originated at Skoltech — Lomonosov Moscow State University, and Sirius University present a Transformer-based artificial neural network that can turn images of organic structures into molecular templates. The model is capable of automatically detecting chemical formulae on research paper scans. The findings were published in Chemistry-Methods, that…

Read More Image2SMILES – A Transformer Based Neural Network Model for Extracting Chemical Formulas From Research Papers
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with Artificial Intelligence Enabled ‘Deep Docking’
BySwati Yadav February 9, 2022October 22, 2026

Deep Docking (DD) is artificial intelligence (AI) driven method that provides very economical yet highly reliable access to ultra-large docking. It was developed by Scientists at the University of British Columbia, Vancouver, to address the global lack of computational docking power and to enable structure-based screening of chemical libraries having billions of molecules without using…

Read More Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with Artificial Intelligence Enabled ‘Deep Docking’
AI | Bioinformatics | Corona Virus | Machine Learning | News | Tools | Trending

Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind in Real-Time
ByDr. Tamanna Anwar February 2, 2022June 18, 2022

Researchers from MIT have developed a machine-learning model that can predict how two proteins bind, not in hours or minutes but just in a few seconds. Scientists may be able to use this machine-learning model to speed up the development of new drugs. Antibodies, which are small proteins generated by the immune system, can bind…

Read More Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind in Real-Time
AI | AMR Alert | Biotech | Covid-19 News | Health | Machine Learning | News | Trending

Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk of Future Heart Attack
ByDr. Tamanna Anwar January 16, 2022June 18, 2022

The PET/CT artificial intelligence model performed better than clinical data in predicting heart attack risk in individuals with established coronary artery disease. Predicting a heart attack in standard clinical practice is difficult. Cardiovascular risk factors and scores are commonly used to predict the chance of a heart attack, especially in individuals with suspected coronary artery…

Read More Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk of Future Heart Attack
AI | Bioinformatics | Data Science | Drug Discovery | Machine Learning | News | Structural Biology

Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery
ByDr. Tamanna Anwar January 14, 2022October 22, 2026

Targeting nucleic acid macromolecules, particularly RNA, for structure-based drug design (SBDD) is gaining research attention as it resulted in several FDA-approved compounds targeting RNA molecules. Scientists from Skoltech’s iMolecule group have created an artificial intelligence-driven approach, “BiteNetN,” to identify sites on the structures of DNA or RNA molecules where drug compounds may bind. The drug-binding…

Read More Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery
AI | Bioinformatics | Featured | Health | Machine Learning | News

Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence
ByDr. Tamanna Anwar January 13, 2022June 18, 2022

Scientists from Ben-Gurion University, Israel, have developed a method for computer-aided diagnostics of bronchial asthma based on machine learning. The model is trained using the audio file data, including respiratory sound records from healthy and asthmatic patients. The AI-based method developed for bronchial asthma diagnostics predicts with a high accuracy rate: “sensitivity of 89.3%, specificity…

Read More Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence
AI | AMR Alert | Bioinformatics | Covid-19 News | Machine Learning | News | OMICS | Trending

AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
ByDr. Tamanna Anwar January 11, 2022June 18, 2022

The research published in Nature combines single-cell technologies and artificial intelligence (AI) to create a new picture of gene regulation in all the fruit fly’s brain cells. The researchers utilized deep learning to discover how certain sections of DNA influence neuronal identity from birth to adulthood. The Nature study will likely boost AI-driven biomedical research,…

Read More AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
AI | Bioinformatics | Covid-19 News | Genomics | Machine Learning | News | Precision Medicine | Trending

Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
ByDr. Tamanna Anwar January 11, 2022June 18, 2022

Machine learning may aid in repairing genetic damage and avoiding DNA mutations and chronic diseases. Scientists from Massachusetts General Hospital and the National Cancer Research Centre have created novel methods for seeing DNA repair in detail, using machine learning and high-throughput microscopy, and have discovered new repair proteins. The results might open the path for…

Read More Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
AI | Biotech | Featured | Trending

Predicting Gene Expression From DNA Sequence Using AI
ByDr. Tamanna Anwar January 2, 2022October 22, 2026

Interpreting gene expression from the DNA sequence is one of the most challenging problems in genome biology. Decoding DNA sequence with the help of “Artificial Intelligence” to predict phenotypes from molecular to organismal level is needed in the next phase of genome biology research. Google’s DeepMind in collaboration with Alphabet’s Calico have introduced neural network…

Read More Predicting Gene Expression From DNA Sequence Using AI

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AI

Deep Neural Network Based 3D Reconstruction of Cellular Images to Track Real-Time Response of Tissues to Cancer Therapy

Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful Drugs

IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks

Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery

Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence

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