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Dive into the research topics where John Kalantari is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Biological research and self-driving labs in deep space supported by artificial intelligence
Sanders, L. M., Scott, R. T., Yang, J. H., Qutub, A. A., Garcia Martin, H., Berrios, D. C., Hastings, J. J. A., Rask, J., Mackintosh, G., Hoarfrost, A. L., Chalk, S., Kalantari, J., Khezeli, K., Antonsen, E. L., Babdor, J., Barker, R., Baranzini, S. E., Beheshti, A., Delgado-Aparicio, G. M. & Glicksberg, B. S. & 36 others, , Mar 2023, In: Nature Machine Intelligence. 5, 3, p. 208-219 12 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
Biomonitoring and precision health in deep space supported by artificial intelligence
Scott, R. T., Sanders, L. M., Antonsen, E. L., Hastings, J. J. A., Park, S. M., Mackintosh, G., Reynolds, R. J., Hoarfrost, A. L., Sawyer, A., Greene, C. S., Glicksberg, B. S., Theriot, C. A., Berrios, D. C., Miller, J., Babdor, J., Barker, R., Baranzini, S. E., Beheshti, A., Chalk, S. & Delgado-Aparicio, G. M. & 36 others, , Mar 2023, In: Nature Machine Intelligence. 5, 3, p. 196-207 12 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
COVID-19 mortality prediction from deep learning in a large multistate electronic health record and laboratory information system data set: Algorithm development and validation
Sankaranarayanan, S., Balan, J., Walsh, J. R., Wu, Y., Minnich, S., Piazza, A., Osborne, C., Oliver, G. R., Lesko, J., Bates, K. L., Khezeli, K., Block, D. R., DiGuardo, M., Kreuter, J., O’Horo, J. C., Kalantari, J., Klee, E. W., Salama, M. E., Kipp, B. & Morice, W. G. & 1 others, , Sep 2021, In: Journal of medical Internet research. 23, 9, e30157.Research output: Contribution to journal › Review article › peer-review
Open Access -
Prototyping CRISP: A causal relation and inference search platform applied to colorectal cancer data
Budd, S., Blaas, A., Hoarfrost, A., Khezeli, K., D’Silva, K., Soboczenski, F., Mackintosh, G., Chia, N. & Kalantari, J., Mar 9 2021, LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies. Institute of Electrical and Electronics Engineers Inc., p. 517-521 5 p. 9391819. (LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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The unreasonable effectiveness of inverse reinforcement learning in advancing cancer research
Kalantari, J., Nelson, H. & Chia, N., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 437-445 9 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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