A Novel Semi-Supervised Machine Learning Model for Patch-based Breast Cancer Classification
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...
Explainable AI – Deep Learning Models: Black Box to Emerging Genomics...
Deep learning extensively affects studying genetics and the breakthrough research associated with them. The study focuses on understanding the building of complex models rather...
A New Study Reveals the Landscape and Evolution of Nuclear-Mitochondrial Segments
Researchers from Cambridge University have reported the presence of nuclear-mitochondrial segments (NUMT) in a sample population of 66,083 people with 12,509 cancer samples. Whole...
HAL-X: A Novel Clustering Algorithm for Rapid Single-Cell Data Analysis for...
The novel clustering algorithm HAL-x provides insights into single-cell clustering, bridging the biomedicine sciences for healthcare purposes. With its specificity and sensitivity, it allows...
Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear...
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...
Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae...
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...
Researchers Identified Deep Learning Tools as the Top Performers for Predicting...
New RNA transcripts have been discovered as a result of the growing amount of transcriptomic data. Bioinformatic tool developers have had difficulty separating long...
In a Benchmark Study, Scientists Investigated the Integration of Temporal Sequencing...
Recent advancements in trajectory inferences have unfolded a new side of bioinformatics, i.e., single-cell analysis. The research group from the University of Northern Carolina...
New AI Tool ‘SigProfilerExtractor’ Identifies Mutational Signature Linked To Tobacco Smoking...
A new powerful machine learning tool, 'SigProfilerExtractor' has identified a link between bladder cancer and tobacco smoking. The study was led by researchers at the...
Eliminating the Confounder Bias – A Radical Approach for Better Identification...
Researchers from Jilin University have constructed a machine learning-based model that reduces confounders' effects to identify potential driver genes involved in cancer initiation and...
iNAP: An Integrated Network Analysis Pipeline for Microbiome Studies in Complex...
Microbial network analysis is an acceptable approach to investigating microbiome and metagenomic datasets and finding insights into a complex ecosystem. Ye Deng et al....
Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil,...
Antimicrobial resistance (AMR) may be reservoired in intensive livestock farms, posing a threat to surrounding communities. The gut microbiome of livestock, workers, and their...
Mathematical Modeling Bridges Chromatin Architecture with Potential in Genome Medicine
Scientists from the University of Michigan employed hypergraph theory, utilizing long sequence reads to map genome-wide multi-ways to identify chromatin architecture within the human...
Accelerating the Discovery of New Drugs with AI-based Screening Methods
The researchers from the University of Central Florida identified promising drug candidates using an AI-based tool, "AttentionSiteDTI," that uses natural language to model drug-target...
Meet “ProteinMPNN,” A Robust Deep Learning-based Protein Sequence Design Algorithm
Predicting protein structure has been revolutionized by machine learning over the past two years. A similar breakthrough in protein design has now been reported...
Microbiome Data Analysis using Differential Abundance Methods – A Benchmark Study
In order to perform an extensive benchmarking of the known tools for differential abundance analysis, the researchers from the University of Padova used a...
CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images...
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...
DeepFold: A Fast and Accurate Method for Ab Initio Protein Structure Prediction using...
Scientists from the University of Michigan developed an open-source program, DeepFold, to quickly construct accurate protein structure models from deep learning-based potentials.
In spite...
Vanderbilt University Researchers Suggest a New Mechanism for the Lipid Transporter
New research from Vanderbilt University suggests that a protein involved in the production of high-density lipoprotein (HDL) works differently than previously believed.
High-density lipoproteins (HDL)...
Researchers at Tufts use Artificial Intelligence to Improve Tuberculosis Treatments
A challenge to tuberculosis treatment regimen design is the need to combine three or more antibiotics. The study shows how machine learning can provide...
MIT Biologists Develop a New Computational Approach to Gain Insights into...
The computational analysis of proteins reveals that many repetitive sequences are shared across proteins and show similarities in species from bacteria to humans.
MIT biologists...
Microsoft and Novo Nordisk Collaborate to Accelerate Drug Discovery and Development...
Novo Nordisk, a leading global healthcare company headquartered in Denmark, has entered into a new strategic collaboration with Microsoft Corp. to accelerate drug discovery...
Scientists Develop an Artificial Intelligence Tool that Could Reduce the Side...
It may be possible for clinicians to use artificial intelligence to identify patients who are most prone to experiencing harmful side effects when taking...
Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using...
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,...
A New AI Model can Detect COVID-19 Cases by Analyzing Changes...
A deep learning model based on voice data from crowd-sourced audio samples detects COVID-19 cases by analyzing subtle vocal changes.
At an international congress of...
Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2...
Researchers at Mount Sinai have solved the high-resolution crystal structure of a critical enzyme of SARS-CoV-2, leading to the development of new antivirals. This...
Cancer Omics Data Analysis Simplified with a Graphical Interface-driven Bioinformatics Pipeline...
Researchers from the Indian Institute of Technology, Madras, present iCOMIC, a tool for quickly analyzing genomic data. With iCOMIC, users can analyze whole genome...
Scientists Construct a Single-cell Level Cross-species Cell Landscape by Integrating Over 2.6...
Life is based on individual cells. Landscape dynamics across species have not been compared despite extensive efforts to characterize cellular heterogeneity. A large number...
MVsim – A Toolset for Simulating Complex Molecular Interactions Could Improve...
MVsim is a new application suite that enables the quantification, design, and mechanistic evaluation of multivalent binding interactions. It can be used to simulate...
Machine Learning Reveals How Bacterial Population Growth is Linked to the...
University of Tsukuba researchers used machine learning to discover that differentiation in decision-making factors for the lag, growth, and saturation phases of bacterial population...
Scientists Introduce an Automated Pipeline ‘Galaxy-SynBioCAD’ for Synthetic Biology Design and...
A toolshed for synthetic biology, metabolic engineering, and industrial biotechnology is available through the Galaxy-SynBioCAD portal. Using the tools and workflows available on the...
What is DNA Sequencing?
DNA sequencing is the process of determining the order of nucleotides (the building blocks of DNA) A, T, G, and C in a strand...
Deep Mutational Learning Determines the Impact of SARS-CoV-2 Receptor Binding Domain...
It is highly likely that the COVID-19 pandemic will last longer due to the continuous evolution of SARS-CoV-2 and the emergence of variants that...
Top Five Data Science Technologies Transforming Cancer Research
Cancer is a disease that affects millions of people worldwide. According to the World Health Organization (WHO), cancer is the second leading cause of...
Epitope-Evaluator: A Shiny/R-based Web Tool for Interactively Analysing Predicted T-cell Epitopes
T-cell epitopes are predicted based on amino acid sequences of proteins from different MHC alleles using multiple immunoinformatic tools. Many of these tools produce...
Self-supervised Deep Learning Algorithm “Cytoself” Provides High-Resolution Features of Protein Subcellular...
Understanding cellular architecture requires understanding the diversity and complexity of protein localization. The present study aims to introduce cytoself, a deep-learning approach that allows...
Clinical Validation of Deep Learning Algorithm to Simplify Lung Cancer Radiotherapy...
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,...
Kyoto University Scientists Integrated Probability Algorithms within a Pocket-sized Sequencing Device...
Scientists at Kyoto University introduced two new approaches that could help better distinguish RNA modifications affecting how genetic code is read using sequencing technology.
The...
UCI Scientists Track Transposable Elements ‘Parasitic Genes’ in the Search for...
Scientists at the University of California, Irvine, provide new insights into "parasitic genes" or transposable elements. Despite accounting for more than half of human...
MIT’s Artificial Intelligence Model Detects Parkinson’s Disease from Nocturnal Breathing Patterns
Scientists from MIT developed a device resembling a Wi-Fi router that employs a neural network to detect the presence and severity of the most...
Interactome of the Dementia Protein ‘Tau Protein’ Reveals its Role in...
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...
MIT Researchers used Multicellular Interface Patterning Based on 4-bit Adhesion Logic...
A research team led by the professors at MIT and the University of Arizona has developed an experiment-theory platform for programming bacterial systems to...
A Comparative Analysis of Artificial Intelligence Approaches for Personalized Medicine Reveals...
A study at Rutgers University of dozens of artificial intelligence (AI) software programs used in precision medicine to prevent, diagnose, and treat disease discovered...
Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole...
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...
Genebass – A New Online Resource that Links Rare Genetic Variants...
Researchers at the Broad Institute of MIT and Harvard have developed Genebass, a free online browser that will assist other researchers and clinicians studying...
Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s...
A research team at Seoul National University (SNU) developed deep learning technology that can more accurately predict a cancer patient's survival rate.
According to the...
Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out...
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...
Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
Scientists from The City University of New York present a protocol for collecting and analyzing data for KBG syndrome that emphasizes the use of...
Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis...
Scientists from the Swiss Institute of Bioinformatics devise a workflow known as Single Cell Analysis mRNA Pipeline, 'scAmpi,' for providing complete functionality to scRNA-seq data...
A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the...
A tumor is a complex tissue of cancerous cells associated with a heterogeneous cellular microenvironment. Using single-cell sequencing, tumor cells can be molecularly characterized....
Must Read
Teaching Genomics Made Easy: Meet eduomics, the Automated Omics Simulation Pipeline
When researchers at the Department of Biology and Biotechnology, the University of Pavia, set out to rethink bioinformatics teaching. They started from a simple...
Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists
In the rapidly evolving field of single-cell biology, accurately identifying cell types from complex datasets remains a cornerstone of research. A team of scientists...
Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI
Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them...
Can Machine Learning Finally Crack the Protein Expression Code?
A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question...
AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function
Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable...