Author

V. B. Kolachalama

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#diffusion models Open access Oct 2026

CellDiffusion: Enhancing scRNA-seq data integration with accurate inference of cell-cell association

Integrating single-cell transcriptomic datasets across laboratories, conditions, and technologies remains challenging because of cell type–specific batch effects and heterogeneous biological compositions. Current methods often fail to separate genuine biological variation from technical noise, misaligning distinct cell...

Yu-Chen Liu, Zi-Ying Huang, S. Lu et al. · Science Advances · 0 citations

Open access Oct 2026

Entity-centric evaluation of large language model responses for medical question-answering tasks

Large language models (LLMs) are increasingly evaluated for clinical question-answering (QA) tasks, yet benchmark accuracy alone provides limited assurance of clinical reliability. Existing evaluation metrics often fail to capture whether model reasoning preserves patient-specific context and diagnostic intent, while m...

Yi Liu, V. B. Kolachalama · PLOS Digital Health · 0 citations

Open access Jul 2026

Gradient-guided adapter merging for neuroimaging vision-language models

GRAM is presented, a layer-selective low-rank adaptation (LoRA)-based fine-tuning and merging framework for multi-task neuroimaging visual question-answering (VQA), which uses a gradient ratio that contrasts class-specific gradients to identify task-discriminative layers.

S. Bit, O. Güney, S. Jia et al. · medRxiv · 0 citations