Hidden Patterns Involved In Patients With Multimorbidities

UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities

Shwetha S - 0
A multi omics approach to earth's microbiomes project

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

Riya Vishwakarma - 0
GenSLM - A Genome-Level AI Model

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

Shwetha S - 0
Amazon Omics - A Comprehensive Service for Storing, Querying, and Analyzing Genomic and Biological Big Data

Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A...

Dr. Tamanna Anwar - 0
DNA methylation classes of sinonasal tumors

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

Riya Vishwakarma - 0
Molecular Subsets Involved in Brain Metastases of Melanoma

Scientists Decipher the Molecular Subsets Involved in  Brain Metastases of Melanoma

Shwetha S - 0
RNAlysis: RNA Sequencing Data Analysis for Less Computer-savvy Researchers

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

Riya Vishwakarma - 0
AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties

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

Shwetha S - 0
ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning

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

Riya Vishwakarma - 1
Diagnosis of Neonatal Infectious Diseases Through Metagenomic Next-Generation Sequencing

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

Shwetha S - 0
Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus

Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an...

Riya Vishwakarma - 0
Constructing a High-Resolution Global Map of Clinically Relevant Antimicrobial Resistance Genes

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

Shwetha S - 0
UniverSC: A Multi-platform Universal scRNAseq Data Processing Pipeline

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

Riya Vishwakarma - 0
Novel AI Blood Test 'DELFI' for Early Detection of Liver Cancer

Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection...

Dr. Tamanna Anwar - 0
FASSO: An AlphaFold Based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins

FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign...

Riya Vishwakarma - 0
Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence

Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using...

Dr. Tamanna Anwar - 0
Functional Connectivity MultiVariate Pattern Analysis (fc-MVPA)- A Novel Method for the Analysis of Human Connectome

Functional Connectivity MultiVariate Pattern Analysis – A Novel Method for the...

Shwetha S - 0
A bioinformatics roadmap for drug prioritization from cancer genomics data.

A Bioinformatics Roadmap for Drug Prioritization from Cancer Genomics Data

Riya Vishwakarma - 0
CLIMB - A New Statistical Method for Improved Large Scale Genomic Data Analysis

CLIMB – A New Statistical Method for Improved Large Scale Genomic...

Shwetha S - 0
A deep learning platform OrganoID: analyzes and interprets the organoid models

Researchers Introduce a Deep Learning Platform ‘OrganoID’ to Track Single-organoid Dynamics...

Mahi Sharma - 0
The first high-quality reference genome of the Nile rat, a promising model organism for diabetes.

Scientists Unveil High-Resolution Reference Genome of Nile Rat – A Promising...

Shwetha S - 0
CRISPR-CAS9-based technique investigates copy number alterations in cancer genomes

A Novel CRISPR-based Technique ‘MACHETE’ Investigates Copy Number Alterations in Cancer...

Mahi Sharma - 0
AF2 applications

An International Collaborative Effort Assessed The Applications Of AlphaFold2

Shwetha S - 0
Proteo-genomic Profiling of Virus-associated Liver Cancer

Large-scale Proteo-genomic Profiling of Virus-associated Liver Cancer Unveils Potential Subtypes and...

Mahi Sharma - 0
Deep-SMOLM generates 5D images of proteins.

Meet Deep-SMOLM: A Machine Learning Algorithm for Generating 5D Images of...

Shwetha S - 0
A machine learning-based enzyme engineering.

Researchers Developed Machine Learning-Based Enzyme Engineering Approach by Integrating a Logistic...

Mahi Sharma - 0
Deep Learning Algorithm Detects Head and Neck Cancer Better than Radiologists.

Deep Learning Algorithms – the Future of Medical Imaging?

Dr. Tamanna Anwar - 1

Researchers Develop a Computational Tool ‘CAMMiQ’ for Strain Level Microbial Detection...

Mahi Sharma - 0
Meta AI creates ESM Metagenomic Atlas, a repository of over 600 million predicted metagenomic protein structures, leaving behind alphafold db.

Meta AI Releases ESM Metagenomic Atlas: A Repository of Over 600 Million...

Shwetha S - 0
Virtual HER2 staining of unlabeled tissue sections via deep learning.

Researchers Introduced a Deep Learning-based Label-Free Virtual HER2 Immunohistochemical Staining of...

Mahi Sharma - 0
Multimodal Data Fusion

Artificial Intelligence Strategies For Multimodal Fusion – A Path Towards Precision...

Shwetha S - 0
Precily - A Deep Neural Network-based Cancer Drug Response Predictor

PRECILY – A Deep Neural Network-based Cancer Drug Response Predictor

Shwetha S - 0
AlphaFold and experimental density maps to rebuild protein models improves structure prediction accuracy.

Synergistic Protein Modeling Using AlphaFold and Density Maps Improves Structure Prediction...

Shwetha S - 0
Protecting Crops from Rice Blast Disease

Researchers Find Clues to Protecting Crops from Blast Disease by Gaining...

CBIRT - 0
Stages of malaria

Data Dimensionality Reduction Promotes Stage-specific Malaria Detection Based on Neural Networks

Mahi Sharma - 0
A Novel Machine Learning Method for Classifying Macrophages

A Novel Machine Learning Method for Classifying Macrophages Could Facilitate the...

Shwetha S - 0
Phylogenetic-tree-of-the-genus-Quinella-and-relatives

Genomic Insights into the Physiology of an Iconic Unculturable Rumen Bacterium...

Mahi Sharma - 0

Artificial Intelligence Accurately Predicts Patient’s Race from Medical Images – Can...

Shwetha S - 0
TF-peaks

Novel EEG Phenotyping to Identify Neurological Disease from Sleep Brainwaves

Mahi Sharma - 0
CODE-AE Predicts Personalized Cancer Drug Response Using Cell Line Data

Machine Learning Model ‘CODE-AE’ Predicts Personalized Cancer Drug Response Using Cell...

Shwetha S - 0
sc-linker is an integrated framework to relate human diseases to cell processes using GWAS results and scRNAseq data.

Single-cell RNA Sequencing and GWAS Data Integration Discover New Disease Cell...

Shwetha S - 0
stMVC model for analyzing tumor heterogeneity in spatial transcriptomics data.

Attention-based Multi-view Graph Collaborative Learning Model ‘stMVC’ to Decipher Tumor Heterogeneity...

Mahi Sharma - 0
Protein Complex Structure Prediction Using AlphaFold and Monte Carlo Tree Search

Demystifying Large Protein Complex Structures Using AlphaFold and Monte Carlo Tree...

Shwetha S - 0
DrugRep: Virtual Screening Tool for Drug Repurposing

DrugRep: An Automated and Parameter-Free Virtual Screening Tool for Drug Repurposing

Mahi Sharma - 0
Autism Spectrum Disorder (ASD)

Insurance Claim Data and Machine Learning Aids in the Early Detection...

Shwetha S - 0
SARS-CoV-2 Human Contactome

A Systematic Proteome-scale Contactome Map Reveals How SARS-CoV-2 Communicates with Human...

Mahi Sharma - 0
Alignment-free Graph-based Genotyper for SNPs and Short Indels

KAGE – A Fast Alignment-free Graph-based Genotyper for SNPs and Short...

Shwetha S - 0
Machine Learning Model for Patch-based Breast Cancer Classification

A Novel Semi-Supervised Machine Learning Model for Patch-based Breast Cancer Classification

Shwetha S - 0
Conceptual approaches to explainable artificial intelligence

Explainable AI – Deep Learning Models: Black Box to Emerging Genomics...

Mahi Sharma - 0
Nuclear-mitochondrial segments (NUMT)

A New Study Reveals the Landscape and Evolution of Nuclear-Mitochondrial Segments

Shwetha S - 0
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