Accepted Papers

AI for Biology Track

  • Attribution Without Motion: Anthropometric Confounding in SHAP-Derived Autism Gait Biomarkers; Muktinath Vishwakarma, RITIK RAJU MOHITE, Manish Kurhekar, Dr Urmila Dahake
  • Pathway-GNN: Interpretable Single-Cell Clustering via Pathway-Aware Graph Learning; Preveena K V, Prashanth N Suravajhala, Manu Madhavan
  • EvoSplicer: Conservation-aware splice site predictor; Debeshee Sen, Leelavati Narlikar
  • Typed Knowledge-Graph Tools Give LLM Agents Reliable Access to Merged Biomedical Knowledge Graphs; Madhulatha Mandarapu, SANDEEP KUNKUNURU
  • Tree-OMICS: Scalable Hierarchical Optimal Transport for Multi-Modal Omics Fusion under Compute Constraints; Shreyansh Avasthi, Panchadip Bhattacharjee, Arya Abnish Singh, Somyajeet Arukh, Aman Kumar Giri, Dayananda P
  • Predicting Functional Autophagy Receptors Using Multimodal Learning; Jesu Castin, Ashutosh Modi, Lipi Thukral
  • digiBONE : A Multiscale Representation of Skeletal Maturity from Hand Radiographs; Shreya Chakladar, Anuradha Khadilkar, Pranay Goel
  • Weight-sharing Bayesian Neural Networks for Stable and Interpretable Feature Selection in High-dimensional Gene Expression Data; Akanksha Mishra
  • ClinDoc-Bench-IN: Benchmarking Indian Handwritten Clinical Documents; Daksh Sammi, Mayank Kejriwal, SANJU TIWARI
  • ReLiF-3D: Prior-Guided Semi-Supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views; Kunal Jangid, Tanmay Basu, Vinod K. Kurmi
  • One Slide Is Not One Patient: Patient-Grouped Benchmarking of Foundation Models for Microsatellite Instability Detection; Pardeep Singh, Satya Prakash Khuntia
  • Integrating Protein & DNA Foundational models for Variant Pathogenicity Prediction; Hitesh Nagar, Aryan Arora, Ashutosh Modi, Lipi Thukral
  • Integrative plasma proteomics and myeloid- interferon profiling reveal an AI-validated vascular- endothelial stress signature distinguishing SLE flare from remission in an Indian cohort a discovery – phase study; Abhibroto Karmakar
  • Predicting Membrane-Interacting Residues for Peripheral Membrane Proteins; Prathamdeep Dhanoa, Ashutosh Modi, Lipi Thukral
  • Scintilla: Hardware-accelerated scRNA-seq normalisation; Aniruddha Mukherjee, Saket Choudhary
  • Towards Generalizable Multi-Omics Learning for Cancer Predictive Modelling and Biomarker Discovery; Vishnu Madhav
  • HATS: Hypergraph Attention and Transformer based Multimodal fusion for breast cancer survival prediction; AMRITA KUMARI, Manu Madhavan
  • Hybrid Quantum-Classical Optimization for RNA Secondary Structure Prediction; Sahiti Samskruti Miyapuram
  • Two-Stage Multi-Omics Classification of Inflammatory Bowel Disease Using Consensus Feature Selection and Machine Learning: A Comparative Analysis Framework; Roupesh C, Velmari Kumar M, Prakalya G B, A Alice Nithya
  • Cluster-Size Bias and Its Partial Correction in Correlation-Based Feature Clustering for Explanation Stability; HEMACHANDAR P
  • L$_{2,1}$-Regularized Least Squares Twin Support Vector Machine Identifies Highly Predictive Multi-omics Features for Lung Cancer Subtype Classification; Sambhav Jain, Shandar Ahmad
  • Machine Learning-Driven Prediction and Discovery of Antimicrobial Resistance Biomarkers in Bacterial Genomes; SANKET MANSANGBHAI CHAUDHARY, Priyal Visavadiya
  • Automated quantification of tumor infiltrating lymphocytes in histopathology slides; Viren Mehta, Perin Modi, Karan Patel, Shrey Patel
  • A Hybrid Computational Framework for Targeted miRNA Drug Candidate Discovery Integrating AI-Driven Bioactivity Prediction and Molecular Docking; Subhasree Majumder, Debnath Pal
  • Anatomy Aware AI for Chest X-Ray Analysis; Viren Mehta, Perin Modi, Karan Patel, Shrey Patel
  • Seqout: metadata harmonisation for public genomic data discovery; Aniruddha Mukherjee, Mukesh Reddy, Saket Choudhary
  • De Novo SLiM Peptide Binder; Jesu Castin, Areej Ahmad, Harsh Goel, Ashutosh Modi, Lipi Thukral
  • Physics-Informed Framework for Pose Refinement and Biomechanics-Based Evaluation of Weightlifting Technique of Olympic Athletes; Pahini Bhagat, Anitha Ashishdeep, Srishti Sharma, Srikrishnan Divakaran, Mehul S. Raval
  • TAP-CT and Hybrid Geometry-Aware Multimodal Fusion for Non-Invasive EGFR Mutation Prediction in Non-Small Cell Lung Cancer; Muthulakshmi K, Gopalakrishnan T