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Revolutionizing Protein-Nucleic Acid Binding Prediction with PNAbind: A Graph Neural Network Approach
AI

Revolutionizing Protein-Nucleic Acid Binding Prediction with PNAbind: A Graph Neural Network Approach

Deotima Chakraborty -
2
Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of Safer Treatments
AI

Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of Safer Treatments

Dr. Tamanna Anwar -
0
Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma
AI

Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma

Deotima Chakraborty -
0
IntegrAO: A Novel Unsupervised Framework for Integrating Incomplete Multi-Omics Data and Patient Stratification
AI

Meet IntegrAO: A Novel Unsupervised Framework for Integrating Incomplete Multi-omics Data and Patient Stratification

Anchal Negi -
0
PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
AI

MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models

Anchal Negi -
1
New Principles Underlying Neural Activity Discovered With Starting Implications For Machine Learning
AI

New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning

Sonal Keni -
0
The Rising Potential of Deep Neural Networks in Mimicking Human Hearing
AI

The Rising Potential of Deep Neural Networks in Mimicking Brain Responses to Auditory Stimuli

Sonal Keni -
0
Unleashing the Power of Recurrent Neural Networks for Orally Bioavailable Drug Design with Novomol
AI

Unleashing the Power of Recurrent Neural Networks for Orally Bioavailable Drug Design with NovoMol

Deotima Chakraborty -
0
Meet NeuroVelo: A New Tool to Decode Cellular Dynamics from Single-cell Transcriptomic Data
AI

Meet NeuroVelo: A New Tool to Decode Cellular Dynamics from Single-cell Transcriptomic Data

Deotima Chakraborty -
0
MiRGraph: A novel algorithm based on deep learning methods to predict miRNA-target interactions
Bioinformatics

Meet MiRGraph: A Novel Deep Learning Algorithm to Predict miRNA-target Interactions

Swasti Tyagi -
0
Deep Learning Meets Clinical Microbiology: Unveiling DeepColony for Automated Culture Plate Interpretation
AI

Deep Learning Meets Clinical Microbiology: Unveiling DeepColony for Automated Culture Plates Interpretation

Sonal Keni -
0
Fast-tracking CNS Tumor Diagnosis: New AI System 'Sturgeon' Accurately Diagnoses Brain Tumors in Minutes
AI

Fast-tracking CNS Tumor Diagnosis: New AI System ‘Sturgeon’ Accurately Diagnoses Brain Tumors in Minutes

Sonal Keni -
1
A New Deep Neural Networks Based Method Predicts Protein Abundance Based on Amino Acid Sequence
AI

A New Deep Neural Networks-Based Method Predicts Protein Abundance Based on Amino Acid Sequence

Sonal Keni -
0
Researchers Develop Neural Network for Genomics that can Explain its Prediction Accuracy
Bioinformatics

Researchers Develop Neural Network for Genomics that can Explain its Prediction Accuracy

Swasti Tyagi -
0
Large Language Models Offering Solutions to Tackle Biological Complexity
AI

Large Language Models Offering Solutions to Tackle Biological Complexity

Neegar Naushaba Iqbal and Dr. Tamanna Anwar -
0
Decoding Thoughts into Words: A Breakthrough Brain-Computer Interface Lets Paralyzed Woman Speak via Neural Signals
AI

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

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

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

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

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

Aditi Sarkar -
0
Astrocyte-Powered Transformers: A Biological Blueprint for High-Performance Neural Architectures
AI

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

Aditi Sarkar -
0
Connecting the Cellular Dots: How Single-Cell Reference Mapping Constructs and Extends Cell-type Hierarchies
Bioinformatics

Connecting the Cellular Dots with treeArches: How Single-Cell Reference Mapping Constructs and Extends Cell-type Hierarchies

Neegar Naushaba Iqbal -
0
MIT’s Data-Efficient Molecular Property Predictor: Leveraging Hierarchical Grammar-Induced Geometry
AI

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

Aditi Sarkar -
0
Mount Sinai Researchers Unveil a Vision-Based Transformer Model
AI

Mount Sinai’s Vision-based Transformer Model “HeartBEiT” Interprets Electrocardiograms as Language

Dr. Tamanna Anwar -
0
Enhancing de novo Drug Design with QADD: A Powerful Combination of Reinforcement Learning and Graph-based Molecular Quality Assessment
Bioinformatics

Enhancing De Novo Drug Design with QADD: A Powerful Combination of Reinforcement Learning and Graph-based Molecular Quality Assessment

Banhita Maitra -
0
Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes
AI

The Future of Cancer Care: Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes

Banhita Maitra -
0
PAthreader: A Powerful Tool for Remote Homologs Recognition and Protein Folding Pathway Prediction
AI

Meet PAthreader: A Powerful Tool for Protein Structure and Folding Pathway Prediction using Remote Homologs Recognition

Sejal Saxena -
0
Improving the Accuracy of RNA-Protein Complex Prediction with DRPScore: A Deep Learning Algorithm
Bioinformatics

Improving the Accuracy of RNA-protein Complex Structure Prediction with DRPScore: A Deep Learning Algorithm

Sejal Saxena -
0
m6Anet: A Multiple Instance Learning based Neural Network Model for RNA Modification Prediction
AI

Meet m6Anet: A Multiple Instance Learning based Neural Network Model for Predicting RNA Modifications

Banhita Maitra -
0
DGNN-DDI: A Cutting-edge Tool for Drug-Drug Interaction Prediction using Dual Graph Neural Network
Bioinformatics

DGNN-DDI: A Cutting-edge Tool for Drug-Drug Interaction Prediction using Dual Graph Neural Network

Banhita Maitra -
0
Deep Learning and Radiomics: A Game-Changer for Identifying Glioblastoma and Brain Metastasis
AI

Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases

Dr. Tamanna Anwar -
0
GCNCPR-ACPs: Predicting Anticancer Peptides based on Graph Convolution Network
AI

Meet GCNCPR-ACPs: An Innovative Model for Predicting Anticancer Peptides Based on Graph Convolution Network

Riya Vishwakarma -
0
The procedures of ATGO for protein function prediction.
Bioinformatics

Unleashing the Power of Unsupervised Language Model and Triplet Neural Network Integration for Protein Gene Ontology Prediction

Riya Vishwakarma -
0
ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning
AI

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

Riya Vishwakarma -
1
Precily - A Deep Neural Network-based Cancer Drug Response Predictor
Bioinformatics

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

Shwetha S -
0
Stages of malaria
Bioinformatics

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

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

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

Shwetha S -
0
HAL-X: Novel Clustering Algorithm for Rapid Single-Cell Data Analysis for Drug Discovery
Big Data

HAL-X: A Novel Clustering Algorithm for Rapid Single-Cell Data Analysis for Drug Discovery

Mahi Sharma -
0
A new neural network for detecting Parkinson’s Disease from nocturnal breathing.
AI

MIT’s Artificial Intelligence Model Detects Parkinson’s Disease from Nocturnal Breathing Patterns

Srishti Sharma -
0
Graph Neural Network for Cancer Patient's Survival Rate Prediction
Bioinformatics

Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s Survival Rate

Dr. Tamanna Anwar -
0
digital pathology limits the human effort to a minimum
AI

Scientists Develop Digital Pathology Models without Human Intervention by Integrating Clinical Healthcare Data with AI

Tanveen Kaur -
0
metal binding site, metalloproteins
Bioinformatics

Identification of Physiological and Adventitious Metal-Binding Sites in Protein 3D Structures Using a Deep Neural Network-Based Classifier

Tanveen Kaur -
0
Retinal biometrics technology
AI

TranSalNet – AI System that Simulates Human Vision Holds Potential Application in Cancer Detection

Dr. Tamanna Anwar -
0
RaptGen for Aptamer Generation
Bioinformatics

Scientists Develop a Novel Probabilistic Generative Model ‘RaptGen’ for Aptamer Generation

Dr. Tamanna Anwar -
0
DeepRank-Data Mining ProteinProtein Interfaces Using 3D Convolutional Neural Networks
Bioinformatics

‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks

Tanveen Kaur -
0
Graph Neural Networks for Decoding Protein-Ligand Interactions
AI

A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions

Tanveen Kaur -
0
Smartphone App for Screening Neurological Disease at Home
Biomedical Engineering

A Smartphone App for Screening Neurological Disease at Home

Dr. Tamanna Anwar -
0
Synaptic Integration in the Development of Deep Neural Networks
AI

IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks

Tanveen Kaur -
0
Source of Cell-to-Cell Variability in Cell Signallng
AMR Alert

A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified by Scientists

Tanveen Kaur -
0
'La Jolla Assembler (LJA)' to Scale-up Complete Genome Assembly
AI

Scientists from the University of California Developed a Highly Accurate Algorithm ‘La Jolla Assembler (LJA)’ to Scale-up Complete Genome Assembly

Dr. Tamanna Anwar -
0
atoms-ge2d3f2325_1920
AI

Artificial Intelligence Algorithm Created for ‘Inverse Molecular Designing’ Determines Structure from Function

Dr. Tamanna Anwar -
0
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