gautam ahuja

12 items

Publications

Papers, preprints and conference abstracts, newest first. The same list, with citation counts, is on Google Scholar and ORCID.

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2026

  1. A semantic-based community model for high-fidelity tuning of olfactory mixture distances

    V. Satarifard, L. Sisson, Y. Han, …, J. D. Mainland, P. Meyer, and the DREAM Olfactory Mixtures Prediction Consortium, including Gautam Ahuja

    Proceedings of the National Academy of Sciences (PNAS) 123(32), 2026

    A DREAM community challenge showing that how different two odour mixtures smell can be predicted from a semantic smell space built from single molecules.

    journalConsortium author

  2. A Machine Learning Crowdsourcing Initiative to Accelerate DEL-ML Hit Finding in Drug Discovery

    L. Chiesa, S. Ahmad, J. Sun, …, P. Meyer, M. Schapira, and the First DREAM Target 2035 Challenge Consortium

    ChemRxiv, 2026

    Results of the first open DREAM Target 2035 challenge, in which teams trained models on DNA-encoded library screens to find small-molecule binders of the protein WDR91.

    preprintConsortium; our team placed 3rd in Step 1

  3. Artificial intelligence for automated classification of antinuclear-antibody indirect immunofluorescence patterns

    Harsh Jain*, Gautam Ahuja*, Kartik Sivasami, Santosh Adhikari, Zonunmawia, Abhishek Kumar, Sankar J, Nidhi Goel, Ashish Chandwani, Vivek Vasdev, Rintu Kutum

    EULAR Rheumatology Open 2(1), 2026

    An AI model that classifies antinuclear-antibody staining patterns in immunofluorescence images, automating a manual and subjective laboratory read.

    journal* equal contribution

  4. Diet and physical activity behaviors among women with polycystic ovary syndrome (PCOS): Are they different from healthy women?

    Saloni Kamboj, Taruna Arora, Amlin, Anshu Jyoti, Gautam Ahuja, Spondita Banerjee, Rintu Kutum, Neena Malhotra

    JBRA Assisted Reproduction 30(1), 2026

    Compares diet and physical-activity behaviours of women with PCOS against those of healthy women.

    journal

2025

  1. PRISM: Physician Rules Integrated with Small large language Models for probable diagnoses associated with Abdominal Pain

    Gautam Ahuja, Ayush Agarwal, Hara Prasad Mishra, Samagra Agrawal, Rik Ganguly, Akshay Sharma, Vatsal Batra, Bableen Kaur, Siddhant Poudyal, Himani Balutia, Sagarika, Sanjana Ahuja, Kedar Natarajan, Partha Pratim Das, Ramesh Jain, Partha Pratim Chakrabarti, Anurag Agrawal, Govind K. Makharia, Rintu Kutum

    GenAI for Health Workshop (GenAI4Health) at NeurIPS 2025, 2025

    Physician-written rules do the diagnostic reasoning while small open language models handle conversation and symptom extraction, to suggest probable diagnoses for abdominal pain in outpatient settings.

    workshop

  2. Multi-agent AI enables evidence-based cell annotation in single-cell transcriptomics

    Gautam Ahuja*, Alex Antill*, Yi Su, Giovanni Marco Dall'Olio, Sukhitha Basnayake, Göran Karlsson, Parashar Dhapola

    bioRxiv, 2025

    CyteType, in which LLM agents propose competing cell-type hypotheses, check them against biological databases and score their own confidence. It is benchmarked with CyteOnto against the Cell Ontology.

    preprint* equal contribution

  3. Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge

    D. Jaganath, S. K. Sieberts, M. Raberahona, …, G. Theron, A. Cattamanchi, and the CODA TB DREAM Challenge Consortium, including Gautam Ahuja

    Open Forum Infectious Diseases 12(10), 2025

    A crowdsourced challenge to build tuberculosis screening models from smartphone cough recordings.

    journalConsortium author

  4. Assessing the Reliability of Large Language Model-Driven Agentic Workflows for Single Cell RNA-Sequencing Annotations

    Alex Antill, Gautam Ahuja, Yi Su, Göran Karlsson, Parashar Dhapola

    Methods and Applications for Single-Cell and Spatial Multi-Omics (SCSO) 2025, Leuven, 2025

    abstractposter

  5. Towards Hyper-Personalised Radiology Reporting: A Scalable Autonomous Optimisation Pipeline For Improving Chest X-Ray Report Generation Quality

    Nishtha Mahajan, Gautam Ahuja, Zonunmawia, Akhil V, Swasthik K. Sullia, Amol Pajni, Reet Nandy, Kautik Singh, Siddharth Reddy Anthireddy, Syed Pasha, Rintu Kutum, Suvrankar Datta

    Radiological Society of North America (RSNA) Annual Meeting 2025, 2025

    abstract

  6. Learning To Write Like A Radiologist: Multidimensional Evaluation And Benchmarking Of Autonomous Optimization Pipelines For Hyper-Personalized Head CT Report Generation

    Suvrankar Datta, Nishtha Mahajan, Kautik Singh, Swasthik K. Sullia, Akhil V, Amol Pajni, Syed Pasha, Siddharth Reddy Anthireddy, Zonunmawia, Gautam Ahuja, Reet Nandy, Rintu Kutum

    Radiological Society of North America (RSNA) Annual Meeting 2025, 2025

    abstract

  7. Style-Aware Radiology Reporting: A Scalable Autonomous Optimisation Pipeline For Improving Head CT Report Generation Quality

    Nishtha Mahajan, Akhil V, Amol Pajni, Kautik Singh, Swasthik K. Sullia, Gautam Ahuja, Syed Pasha, Siddharth Reddy Anthireddy, Zonunmawia, Reet Nandy, Rintu Kutum, Suvrankar Datta

    Radiological Society of North America (RSNA) Annual Meeting 2025, 2025

    abstract

  8. POS0721: Interpretation of anti-nuclear antibody indirect immunofluorescence patterns using artificial intelligence

    Harsh Jain, Kartik Sivasami, Rintu Kutum, Gautam Ahuja, Santosh Adhikari, Sankar J, Abhishek Kumar, Vivek Vasdev

    Annals of the Rheumatic Diseases 84 (EULAR 2025 abstracts), 2025

    abstractposter