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Meet GenSLMs, A Genome-Level AI Model That Helps Track COVID Variants’ Evolution

Argonne National Laboratory researchers, together with partners from six different universities, NVIDIA, and Cerebras Inc., have collaborated to create GenSLMs, that learn the evolutionary...

Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A Comprehensive Service for Storing, Querying, and Analyzing Genomic and Biological Big Data

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...

Scientists Develop a Machine Learning Model ‘DxFormer’ for Automated Disease Diagnosis

Fudan University researchers introduced DxFormer, a new automatic diagnostic framework in which each symptom is regarded as a token, formalizing symptom inquiry and disease...

A New Machine Learning Algorithm Classifies Sinonasal Tumors Based on DNA Methylation

Scientists from Ludwig Maximilians University Hospital Munich, Germany have developed a new machine-learning method for classifying hard to diagnose sinonasal tumors. The DNA methylation...

Scientists Decipher the Molecular Subsets Involved in  Brain Metastases of Melanoma

Researchers used a multi-OMICS technique and targeted sequencing (TargetSeq) to identify the processes that may govern the progression of brain metastases. Regardless of intracranial...

RNAlysis: a Gateway into RNA Sequencing Data Analysis for Less Computer-savvy Researchers

Qualitative data analysis, understanding patterns, finding possible targets/candidates, and intuitively displaying the results are among the crucially difficult aspects of next-generation sequencing experiments. These...

Meet AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties from Sequences

A research team led by Professor Matthias Mann from the Max Planck Institute of Biochemistry has developed AlphaPeptDeep. AlphaPeptDeep is a Python framework built...

ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning

A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a...

Enhancing the Comprehensive Diagnosis of Neonatal Infectious Diseases Through Metagenomic Next-Generation Sequencing

Scientists from Xi’an Children’s Hospital have shown that metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) and RNA may help detect trace infections from...

Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus

Researchers at AstraZeneca and Ono Pharmaceuticals sought to create a model that could predict the likelihood that individuals with Type 2 Diabetes Mellitus (T2DM)...

Scientists Created a High-Resolution Global Map of Clinically Relevant Antimicrobial Resistance Genes

Researchers from the University of Antwerp screened 17939 assembled metagenomic samples from 21 different biomes, varying in sequencing quality and depth, over 46 countries,...

Multi-platform Universal Single-cell RNAseq Data Processing Pipeline – UniverSC

Scientists at the Center for Integrative Medical Sciences Yokohama, Japan, designed a platform-independent application to run UniverSC, a wrapper for the 10X Genomics CellRanger program that...

Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection of Liver Cancer

Johns Hopkins Kimmel Cancer Center researchers developed and used artificial intelligence blood testing technology. The new blood testing technology detected liver cancer in more...

FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins

AlphaFold, a machine learning system developed by Google DeepMind, can predict the three-dimensional structures of proteins with unprecedented accuracy, leading to a better understanding...

Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence

A new study published by researchers at the Mayo Clinic has shown that a smartwatch ECG can accurately detect heart failure in nonclinical environments....

Functional Connectivity MultiVariate Pattern Analysis – A Novel Method for the Analysis of Human Connectome

In the article released in PLoS Computational Biology, researcher Alfonso Nieto-Castanon of Boston University describes a technique called fc-MVPA (functional connectivity Multivariate Pattern Analysis)....

A Bioinformatics Roadmap for Drug Prioritization from Cancer Genomics Data

Cancer is a complicated disease brought on by the interaction of various informational layers. Tumor origin, the appearance of genomic and transcriptomic variations, or...

CLIMB – A New Statistical Method for Improved Large Scale Genomic Data Analysis

Researchers from Penn State University present CLIMB (Composite Likelihood eMpirical Bayes), a statistical tool that discovers patterns of condition specificity in a given genomic...

Researchers Introduce a Deep Learning Platform ‘OrganoID’ to Track Single-organoid Dynamics for Drug Exploration

Recent research conducted by the research group of Savas Tay at the University of Chicago, Illinois, USA, introduced a deep learning platform, OrganoID to...

A Novel Deep Learning Framework Identifies Gene-Gene Interactions for a Given Phenotype

A deep learning framework has been developed by researchers under the direction of Tianyu Cui, a Ph.D. student in the Department of Computer Science...

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Overview of the full workflow and tools performed by TransFlow (Transmission Workflow).

TransFlow: a Fast and Efficient Snakemake Workflow for Whole Genome Sequencing Based Transmission Analysis...

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TransFlow (Transmission Workflow), a convenient, quick, effective, and thorough WGS-based transmission analysis pipeline, is presented by Chinese researchers. TransFlow integrates a number of cutting-edge...
Federated Machine Learning Powers the Biggest Brain Tumor Study to Date while Protecting Patient's Data

Federated Machine Learning Powers the Biggest Brain Tumor Study to Date while Protecting Patient’s...

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Federated machine learning enables the largest brain tumor study ever conducted without sharing patient data by allowing researchers to securely analyze distributed datasets while...
MIT Researchers Used Large Language Models to Decode Electronic Health Records.

MIT Researchers Used Large Language Models to Decode Clinical Health Records in Few Shots

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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...
Hidden Patterns Involved In Patients With Multimorbidities

UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities

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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...
A multi omics approach to earth's microbiomes project

A Multi-Omics Approach to Earth’s Microbiomes Project Demonstrates Microbial and Metabolite Diversity

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Contrasting sharply with the little knowledge of the microbial world's underlying structure is the rising awareness of its significance and variety. Despite recent developments...