A New Computer Simulation Coupled with Machine Learning Cracked the Mechanism...
A team led by the University of Maryland utilizes machine learning to explain why a "wonder drug" may not work in all patients.
Understanding how...
An Automated AI-Based Software ‘TrackMate v7’ for Tracking Things in Bioimages
Scientists from Akademi University, Turku, Finland, and Pasteur Institute, Paris, France have developed a new software TrackMate v7 that may allow tracking things in...
Scientists Discover How Protein Production is Regulated to Keep the Cells...
Scientists from Cold Spring Harbor Laboratory (CSHL) have discovered a key process which shows how protein production is regulated to keep the cells healthy....
PGDx Elio Tissue Complete – An Automated and FDA-Approved Clinical Genomics...
PGDx Elio tissue complete, which the FDA has approved for the analysis of 505 cancer-related genes, will enable the development of more effective precision...
Scientists Identify New Mechanism in Small Peptide that Shows Huge Potential...
Scientists used neutrons to learn more about how aurein 1.2, an antimicrobial peptide (AMP) that attacks bacteria's membranes, kills antibiotic-resistant bacteria. The research will...
Scientists Employ RNA Velocity and Deep Learning to Study Gene Regulation...
Scientists have developed DeepCycle, a deep learning approach combined with RNA velocity to reveal cell cycle gene regulation. This methodology is particularly appropriate to...
Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to...
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...
Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease...
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...
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...
The Future of Medicine is Here: Top Tech Transforming Drug Discovery
The advent of technological advances such as artificial intelligence (AI), machine learning (ML), automation, robotics, etc., has accelerated the pace of drug discovery as...
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...
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...
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...
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...
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...
What is Bioinformatics?
Today's sequencing technologies are growing more advanced and producing larger and larger volumes of data in the range of exa- and zettabytes. Advanced algorithms...
‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic...
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...
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...
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...
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...
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...
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 Healthcare
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...
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...
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...
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...
A group of scientists jointly proposed SINATRA Pro, a computational system for the extraction of key structural features between two sets of proteins. SINATRA...
Scientists Engineered a New Tool to Precisely Switch Gene Expression ‘On’...
Scientists have developed a new approach for harnessing electrical signals to turn genes on and off.
A team led by Imperial College London experts has...
A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision...
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...
Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein
In a new study by scientists from the Indian Institute of Science (IISc), repurposing a drug used to treat asthma and allergies has been...
Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
An expert scientist affiliated with the Center for Discovery and Innovation and a colleague from Harvard T.H. Chan School of Public Health discussed the...
Scientists from Scripps Research Developed a New Technique ‘CATCH’ to Pinpoint...
The new approach, developed by Scripps Research experts, has the potential to speed up the development of numerous novel drugs.
Scripps Research scientists have developed...
Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous...
A test developed by OHSU researchers could help doctors treat cancer earlier when it's more likely to be cured.
Scientists discover plasma cell-free RNA profiling,...
Scientists Develop a Machine Learning Model to Predict the Evolution of...
Machine learning algorithms can provide precise forecasting of virus propagation during pandemics. This method eliminates human bias and assumptions, allowing for a more accurate...
FDA-Approved Drugs Repurposing for Treating Alzheimer’s Disease using Hierarchical Cluster Analysis...
Scientists from Brown University identified the novel usage of FDA-approved drugs by cluster analysis of behavioral profiles for the treatment of neurodegenerative disorders by...
Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer...
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...
‘BioCRNpyler’ – A Python Package to Build, Manage and Explore Intricate...
Scientists from the California Institute of Technology, United States, have developed a python package, 'BioCRNpyler', to build, manage, and explore intricate biochemical models. BioCRNpyler...
Scientists Identify New Factors that Can Predict Breast Cancer Recurrence
Scientists at Georgetown Lombardi Comprehensive Cancer Center have uncovered genetics and other characteristics that can predict if a woman is at risk of breast...
Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional...
Researchers from the University of Michigan, USA, developed a deep learning model, CAESAR (Chromosomal structure And EpigenomicS AnalyzeR), to predict nucleosome-resolution 3D chromatin contact...
Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a...
The University of Alabama in Birmingham researchers have found 16 unique cell populations in a complex part of the midbrain known as the ventral...
Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers:...
The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis,...
Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes
Antibiotic-degrading microbes could help avoid opportunistic infections and reduce antibiotic resistance.
Antibiotic-induced changes in the gut microbiota have been linked to a variety of metabolic...
Protein Function and Properties Characterization Using Language Models
In recent years, deep learning algorithms have shown promise in identifying protein function and extracting complex sequence-structure-function correlations.
Scientists from Middle East Technical University and...
DGCyTOF: Deep Learning with Graphic Cluster Visualisation Model for Predicting Cell...
Researchers from The Ohio State University utilized deep-learning classification and hierarchical stable-clustering approaches to predict cell types from single-cell mass cytometry data. The DGCyTOF...
First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International...
Researchers from BGI-Research, in collaboration with scientific research teams from China, Germany, Italy, Singapore, Spain, Sweden, and the United Kingdom, published the world's first...
Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
The World Health Organization (WHO) appraises that 700,000 individuals now die yearly because of antibiotic resistance and anticipates that this number will surpass 10...
The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of...
Scientists from the University of Cambridge have used a medley of automated text analysis and the 'robot scientist - Eve' to semi-automate the procedure...
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How Does NeuralPLexer3 Combine Physics and Machine Learning for Superior Biomolecular Predictions?
The quest to understand biomolecular interactions is central to advancing drug discovery, molecular biology, and bioengineering. A significant step in this journey is accurately...
FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq
In genomics, the conventional approach for explaining any gene expression is to cross-analyze bulk RNA sequencing (RNA-seq) data. However, as researchers, more often than...
Decoding Protein Roles with ProCyon: A Unified Framework for Multiscale Phenotypes
About 20% of human proteins lack recognized functionalities, and over 40% lack context-specific functionals, underscoring the difficulties of comprehending these proteins and their varied...
Streamlining Copy Number Variation Discovery: How CNV-Finder is Changing Genomics
A prevailing challenge in genomics still revolves around the comprehension of structural variants, one of which is copy number variation (CNV). To undertake the...
Unlocking Protein Design with PLAID: A Sequence-Centric Generative Model for All-Atom Structures
The potential influence of generative models for protein design is drawing the attention of the scientific world. However, there are numerous modalities that mediate...