Oxford Researchers Develop a Machine Learning Model to Predict 10-Year Breast Cancer Mortality Risk

Oxford Researchers Develop a Machine Learning Model to Predict 10-Year Breast...

Aditi Sarkar - 0
Decoding Thoughts into Words: A Breakthrough Brain-Computer Interface Lets Paralyzed Woman Speak via Neural Signals

Decoding Thoughts into Words: A Breakthrough Brain-Computer Interface Lets Paralyzed Woman...

Neegar Naushaba Iqbal - 0
From Algorithms to Antibiotics: Harnessing Artificial Intelligence in the Search for Antimicrobial Peptides

From Algorithms to Antibiotics: Harnessing Artificial Intelligence in the Search for...

Aditi Sarkar - 0
Scientists Reveal the First Complete Human Y Chromosome Sequence: A Milestone in Genomics Research

Scientists Assemble the First Complete Human Y Chromosome Sequence: A Milestone...

Neegar Naushaba Iqbal - 0
Unveiling Cellular Secrets: Visualizing Dynamic Biomolecular Machinery with Cryo-DRGN-ET

Unveiling Cellular Secrets: Visualizing Dynamic Biomolecular Machinery with CryoDRGN-ET

Neegar Naushaba Iqbal - 0
AI's Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation

AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein...

Aditi Sarkar - 0
Stanford's GEARS: A Novel Method for Predicting Transcriptional Outcomes of Novel Multigene Perturbations

Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene...

Neegar Naushaba Iqbal - 0
Meet DeepTracer-Refine: An Automated Refinement Approach for AlphaFold2 Predicted Protein Structures

Meet DeepTracer-Refine: An Automated Refinement Approach for AlphaFold2 Predicted Protein Structures

Aditi Sarkar - 0
Meet OpenFold: Reimplementing AlphaFold2 to Illuminate Its Learning Mechanisms and Generalization

Meet OpenFold: Reimplementing AlphaFold2 to Illuminate Its Learning Mechanisms and Generalization

Neegar Naushaba Iqbal - 0
MELISSA: Revolutionizing Protein Function Prediction through Semi-Supervised Embedding

Tuft’s Researchers Unveil MELISSA: Revolutionizing Protein Function Prediction Through Semi-Supervised Embedding

Neegar Naushaba Iqbal - 1
Astrocyte-Powered Transformers: A Biological Blueprint for High-Performance Neural Architectures

Astrocyte-Powered Transformers: A Biological Blueprint for High-Performance Neural Architectures

Aditi Sarkar - 0
CHOP Researchers Unveil TEQUILA-seq: A Versatile and Affordable Tool for Targeted Long-Read RNA Sequencing

CHOP Researchers Unveil TEQUILA-seq: A Versatile and Affordable Tool for Targeted Long-Read...

Aditi Sarkar - 0
Functional Unknomics: Exploring the Untapped Potential of Unknown Genes Leveraging Unknome Database

Functional Unknomics: Exploring the Untapped Potential of Unknown Genes Leveraging Unknome...

Aditi Sarkar - 0
Empowering Medical Research with Drugst.One: A Seamless Plug-and-Play Solution for Online Systems Medicine and Network-Based Drug Repurposing

Empowering Medical Research with Drugst.One: A Seamless Plug-and-Play Approach for Online...

Neegar Naushaba Iqbal - 0
GeneGPT Bridges the Gap Between Large Language Models and Biomedical Information

Answering Genomics Questions with Precision: GeneGPT Bridges the Gap Between LLMs...

Aditi Sarkar - 0
Artificial Intelligence: The New Weapon in the Fight Against Infectious Diseases

Artificial Intelligence: The New Weapon in the Fight Against Infectious Diseases

Dr. Tamanna Anwar - 0
Advancing Spatial Transcriptomic Cell-Type Deconvolution with SONAR: A Spatially Weighted Poisson-Gamma Model

Advancing Spatial Transcriptomic Cell-Type Deconvolution with SONAR: A Spatially Weighted Poisson-Gamma...

Aditi Sarkar - 0
Exploring Deep Learning Methods for Binding Affinity Prediction Across Proteins and Ligands

Exploring Deep Learning Methods for Binding Affinity Prediction Across Proteins and...

Neegar Naushaba Iqbal - 0
Ameliorating the Chromatin Landscape: ChromaFold's Accurate 3D Contact Map Prediction from scATAC-seq Data

Ameliorating the Chromatin Landscape: ChromaFold’s Accurate 3D Contact Map Prediction from...

Aditi Sarkar - 0
Brock Researchers Develop AI-Powered Tool "DAPTEV" to Design New Aptamer Drugs for COVID-19

Brock Researchers Develop AI-Powered Tool ‘DAPTEV’ to Design New Aptamer Drugs...

Neegar Naushaba Iqbal - 0
Large Language Models and Foundation Models in Healthcare: Unveiling the Hype and Addressing the Gaps

Large Language Models and Foundation Models in Healthcare: Unveiling the Hype...

Aditi Sarkar - 0
UCSD's uDance: A Scalable Approach for Generating and Updating Phylogenies with Genome-wide Data

UCSD’s uDance: A Scalable Approach for Generating and Updating Phylogenies with...

Neegar Naushaba Iqbal - 0
Connecting the Cellular Dots: How Single-Cell Reference Mapping Constructs and Extends Cell-type Hierarchies

Connecting the Cellular Dots with treeArches: How Single-Cell Reference Mapping Constructs...

Neegar Naushaba Iqbal - 0
Beyond Biopsies: Single-Molecule Cell-Free DNA Profiling Fuels Non-Invasive Cancer Screening and Detection

Beyond Biopsies: Single-Molecule Cell-Free DNA Profiling Fuels Non-Invasive Cancer Screening and...

Neegar Naushaba Iqbal - 0
Decoding the Microbial Orchestra: A Breakthrough in Metaproteomic Data Analysis and Soil Microbiome

Decoding the Microbial Orchestra: A Breakthrough in Metaproteomic Data Analysis and...

Dr. Tamanna Anwar - 0
Machine Learning Magic: DNABERT-2 Empowers Enhanced Multi-Species Genomic Analysis

Machine Learning Magic: DNABERT-2 Empowers Enhanced Multi-Species Genomic Analysis

Neegar Naushaba Iqbal - 1
Machine Learning Meets Virology: Scripps Scientists Unveil Tracking and Early Warning System for Viral Pandemics

Machine Learning Meets Virology: Scripps Scientists Unveil Tracking and Early Warning...

Neegar Naushaba Iqbal - 0
Predicting Binding Modes with Precision: CHARMM-GUI Empowers Reliable Ligand Binding Predictions

Predicting Binding Modes with Precision: CHARMM-GUI Empowers Reliable Ligand Binding Predictions

Neegar Naushaba Iqbal - 0
Automating CHARMM to GROMACS Force Field Porting with charmm2gmx: A Seamless Solution for Biomolecular Simulations

Automating CHARMM to GROMACS Force Field Porting with charmm2gmx: A Seamless...

Dr. Tamanna Anwar - 0
Meet TALKIEN: A New Tool to Decipher Molecular Crosstalk Through Ligand-Receptor Interactions in Cancer

Meet TALKIEN: A New Tool to Decipher Molecular Crosstalk Through Ligand-Receptor...

Neegar Naushaba Iqbal - 0
Matching RNA Sequencing Alignment Data to Genotypes Made Easy with RNA Strain-Match

Matching RNA Sequencing Alignment Data to Genotypes Made Easy with RNA...

Neegar Naushaba Iqbal - 0
Exploring Uncharted Territory of Protein Folds Through De Novo Protein Design

Exploring Uncharted Territory of Protein Folds Through De Novo Protein Design

Neegar Naushaba Iqbal - 2
ChatGPT meets DNA: DNAGPT, The Ultimate Tool for Multitasking DNA Sequence Analysis!

ChatGPT meets DNA: DNAGPT, The Ultimate Tool for Multitasking DNA Sequence...

Neegar Naushaba Iqbal - 0
Microsoft's AI2BMD: Transforming Protein Dynamics Simulation with ab initio Accuracy

Microsoft’s AI2BMD: Transforming Protein Dynamics Simulation with ab initio Accuracy 

Aditi Sarkar - 0
Treating Rare Cancers with CancerGPT: Cracking the Code on Drug Pair Synergy Prediction Leveraging Large Language Model

Treating Rare Cancers with CancerGPT: Cracking the Code on Drug Pair...

Dr. Tamanna Anwar - 0
TFIIH: Transcription factor IIH

The Shape Shifters of DNA: Exploring Dynamic Conformational Switching in TFIIH...

Neegar Naushaba Iqbal - 0
Meet Uni-RNA: Universal Pre-trained Models Transforming the RNA Research Landscape

Meet Uni-RNA: Universal Pre-trained Models Transforming the RNA Research Landscape

Aditi Sarkar - 0
Meet Mapinsights: A New Toolkit for Quality Control of High-Throughput Sequencing Data

Meet Mapinsights: A New Toolkit for Impeccable Quality Control of High-Throughput...

Neegar Naushaba Iqbal - 0
Predicting Immunotherapy Response: Construction and Validation of a Machine Learning-Based Gene Expression Classifier for Primary Triple-Negative Breast Cancer

Predicting Immunotherapy Response: Construction and Validation of a Machine Learning-Based Gene...

Aditi Sarkar - 1
HyenaDNA Powers Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

HyenaDNA Powers Long-range Genomic Sequence Modeling at Single Nucleotide Resolution

Neegar Naushaba Iqbal - 1
MIT’s Data-Efficient Molecular Property Predictor: Leveraging Hierarchical Grammar-Induced Geometry

MIT’s Data-Efficient Molecular Property Predictor: Leveraging Hierarchical Grammar-Induced Geometry

Aditi Sarkar - 0
Decoding the Epigenomic Puzzle: Evaluating Computational Pipelines for Single-cell Histone Modification Data

Decoding the Epigenomic Puzzle: Evaluating Computational Pipelines for Single-cell Histone Modification...

Neegar Naushaba Iqbal - 0
ColabDock

Meet ColabDock: A New Framework Integrating AlphaFold and Experimental Restraints for...

Aditi Sarkar - 0
Multiscale Pangenome Analysis: A New Tool "PGR-TK" Improves Representation of Repetitive and Clinically Relevant Genes

Multiscale Pangenome Analysis: A New Tool “PGR-TK” Improves Representation of Repetitive...

Aditi Sarkar - 0
GPT-powered Drug Discovery: Meet DrugGPT, the Game-Changing "ChatGPT" for Ligand Design

GPT-powered Drug Discovery: Meet DrugGPT, the Game-Changing “ChatGPT” for Ligand Design

Neegar Naushaba Iqbal - 3
A Synergistic Approach: AlphaFold and Symmetrical Docking for Precise Protein Assembly Structure Prediction

A Synergistic Approach: AlphaFold and Symmetrical Docking for Precise Protein Assembly...

Aditi Sarkar - 0
Predicting Heart Attack Risk Faster and More Accurately than Current Methods: The Role of Machine Learning in ECG Diagnosis

Predicting Heart Attack Risk Faster and More Accurately than Current Methods:...

Neegar Naushaba Iqbal - 0
Guardians of Immunity: How T Cells Fight Diseases and Keep Us Healthy

Guardians of Immunity: How T Cells Fight Diseases and Keep Us...

Neegar Naushaba Iqbal - 0
Explore how Artificial Intelligence revolutionizes molecular simulations, unlocking new realms of discovery and insights.

Innovating Molecular Simulations: Unleashing the Power of Artificial Intelligence for Revolutionary...

Aditi Sarkar - 0
Predicting Childhood ADHD Symptoms: The Promising Role of Neurocognitive Assessments and Machine Learning

Predicting Childhood ADHD Symptoms: The Promising Role of Neurocognitive Assessments and...

Aditi Sarkar - 0
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