Sucheendra K. Palaniappan

MelAnalyze: Fact-Checking Melatonin claims using Large Language Models and Natural Language Inference

MelAnalyze uses deep learning and NLI to semi-automate fact-checking of melatonin claims by validating against scientific literature.

Clustering Gene Co-expression Using 2D Contour Analysis and Autoencoder-based Embedding

The paper introduces a framework using 2D contour analysis and autoencoder embeddings to cluster co-expressed genes, achieving high correlation with visual coherence.

IntegrIBS: Evaluating the Potential and Challenges of Building a Robust IBS Classifier with Integrated Microbiome Data

The paper evaluates the potential and challenges of building an IBS classifier using integrated microbiome data, finding that while XGBoost achieves moderate accuracy, performance drops significantly when tested across diverse datasets.

Large Language Models for Pathway Curation: A Preliminary Investigation

This paper investigates using Large Language Models for pathway curation, showing improved performance over existing methods with a GPT-3.5 fine-tuned model.

Replicating a High-Impact Scientific Publication Using Systems of Large Language Models

This study attempts to reproduce a high-impact publication using a multi-agent system of LLMs, highlighting both capabilities and challenges in automating scientific research.

Evolution of research in biomedical sciences - a network-based characterization based on PubMed

This paper constructs and analyzes a keyword network from biomedical publications to study the evolution of scientific research and identify patterns in discovery.