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First Draft of Monkeypox Virus Genome Sequenced from Current Outbreak Patient

In a quest to understand why the monkeypox virus, which is a less lethal relative of smallpox, has infected so many people around the...

Scientists Develop a Machine Learning Algorithm that uses Electronic Health Records to Predict Mental Health Crisis

Scientists from Koa Health and Birmingham and Solihull Mental Health NHS Foundation Trust developed a machine learning model that uses electronic health records to...

Resistance Genes Identified can Predict Response to Arthritis Treatment and Lays Foundation for Future Drug Development

Researchers from the Queen Mary University of London have shown that molecular profiling of diseased joint tissue can significantly impact whether specific medication treatments...

‘BWA-MEME’ – Machine Learning-Based Short Read Alignment Algorithm to Speed up DNA Sequencing​

The algorithm is the first full-fledged machine learning-based short read alignment algorithm to speed up DNA sequencing,​ that efficiently uses learned indices to solve...

Researchers Introduce a Smartphone-Powered Microchip for Medical Diagnostic Testing at Home

Researchers at the University of Minnesota developed a new microfluidic chip that can identify viruses, pathogens, bacteria, and other biomarkers in liquid samples. A...

Scientists Develop a Machine Learning-Based Framework to Identify Shared and Disease-Specific Host Gene-Microbiome Associations Across Human Diseases

Scientists from the University of Minnesota, Minneapolis, USA, with their collaborators, developed a machine learning framework for a multi-omic integration to identify the shared...

Bioinformatics

Today's sequencing technologies are growing more advanced and producing larger and larger volumes of data in the range of tera- and petabytes. Advanced algorithms...

‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer

CancerVar leverages machine learning frameworks to evaluate the potential relevance of somatic cancer mutations in terms of cancer diagnosis, prognosis, and targetability, in addition...

Enzyme Engineered by Structure-Based Machine Learning Degrades Plastic Waste in Hours to Days

A team of scientists and engineers at the University of Texas at Austin created an enzyme that could break down environmentally damaging polymers in...

Researchers Puzzled by the Structure of Key Protein Implicated in Cell Division

Researchers from the Max Planck Institute reveal the first 3D image of the CCAN protein complex and highlight basic questions about the development of...

‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks

Scientists formulate a deep learning framework, DeepRank, for the data mining of 3D protein-protein interfaces. They demonstrated the efficiency and readiness of DeepRank on...

A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions

A deep learning-based method for predicting the biophysical and biochemical features of protein-ligand complexes developed by researchers could help discover new drug candidates. Scientists formulate...

SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility

The National Institutes of Health's discovery could lead to new approaches to tackle future SARS-CoV-2 variants. According to a study by experts at the National...

Impact of Antibiotics on the Evolution of Gut Microbiome and Antimicrobial Resistance

Following a single antibiotic course, the researchers discover how gut commensals acquire antimicrobial resistance genes (ARGs). According to the researchers, a single round of...

Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease

Scientists from the University of Helsinki, Broad Institute, and Harvard Medical School have revealed the human genetic epidemiology of the COVID-19 disease caused by...

Top 10 Applications of Artificial Intelligence in Health Care in 2022 and Beyond

The health care industry has always been one of the leaders in using technology to make lives better and more efficient. Artificial intelligence (AI)...

A Smartphone App for Screening Neurological Disease at Home

The RGB selfie camera and the front-facing near-infrared camera equipped for facial recognition can be used to capture an image of the eye. The...

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

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...

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

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...

‘SINATRA Pro’ a Computational Pipeline for the Discovery of Biophysical Signatures in Protein Dynamics

A group of scientists jointly proposed SINATRA Pro, a computational system for the extraction of key structural features between two sets of proteins. SINATRA...

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RNA Velocity and Deep Learning to Study Gene Regulation Dynamics During Cell Cycle

Scientists Employ RNA Velocity and Deep Learning to Study Gene Regulation Dynamics During Cell...

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Scientists have developed DeepCycle, a deep learning approach combined with RNA velocity to reveal cell cycle gene regulation. This methodology is particularly appropriate to...
Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19

Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs...

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Controlling the spread of the highly contagious disease and protecting human health requires developing new medications that stay effective against growing COVID-19 variations. After spending...
Blood Biomarker that can Predict Onset of Crohn’s Disease

Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis

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A team led by the University of Toronto researcher discovered that a blood antibody can predict severe Crohn's disease up to seven years before...

Scientists Develop a Mathematical Model to Predict the Efficiency of Phage Therapy Against Pathogenic...

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Scientists from Inserm, Université Sorbonne Paris Nord, and Université Paris-Cité at the IAME Laboratory, with their collaborators at Institut Pasteur and the Paris Public...
Technological Advances in Drug Discovery

Recent Technological Advances in Drug Discovery

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The advent of technological advances such as artificial intelligence, machine learning, automation, robotics, etc., has accelerated the pace of drug discovery as well as...
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