Research output per year
Research output per year
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Dive into the research topics where Hasso Plattner Institute for Digital Health at Mount Sinai is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Alexander Charney
- Artificial Intelligence and Human Health
- Friedman Brain Institute
- Genetics and Genomic Sciences
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn Genomics Institute
- Icahn School of Medicine at Mount Sinai
- Jeff and Lisa Blau Adolescent Consultation Center for Resilience and Treatment
- Mount Sinai Clinical Intelligence Institute
- Nash Family Center for Advanced Circuit Therapeutics
- Pamela Sklar Division of Psychiatric Genomics
- Psychiatry
Person
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Zahi Fayad
- Artificial Intelligence and Human Health
- BioMedical Engineering and Imaging Institute
- Brain-Body Center
- CTSA ConduITS - Institutes for Translational Sciences
- Cardiovascular
- Cardiovascular Research Institute
- Center for Affective Neuroscience
- Environmental Medicine
- Friedman Brain Institute
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn School of Medicine at Mount Sinai
- Institute for Exposomic Research
- Medicine - Cardiology
- Radiology (Diagnostic, Molecular and Interventional Radiology)
Person
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Benjamin Glicksberg
- Artificial Intelligence and Human Health
- Center for Artificial Intelligence in Children’s Health
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn School of Medicine at Mount Sinai
- Mindich Child Health and Development Institute
- Pediatrics
- The Charles Bronfman Institute for Personalized Medicine
Person
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Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine
- Center for Artificial Intelligence in Children’s Health
- Institute for Health Equity Research
- Artificial Intelligence and Human Health
- Data-Driven and Digital Medicine
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn School of Medicine at Mount Sinai
- Medicine
- Medicine - Nephrology
- Mount Sinai Clinical Intelligence Institute
- Nephrology T32
Person
Research output
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A Flexible Deep Learning Framework for Survival Analysis with Medical Data
Campanella, G., Häggström, I., Kook, L., Hothorn, T. & Fuchs, T. J., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-13 11 p. (Lecture Notes in Computer Science; vol. 15974 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A study of gene expression in the living human brain
Liharska, L. E., Park, Y. J., Ziafat, K., Wilkins, L., Silk, H., Linares, L. M., Thompson, R. C., Vornholt, E., Sullivan, B., Cohen, V., Kota, P., Feng, C., Cheng, E., Johnson, J. S., Rieder, M. K., Huang, J., Scarpa, J., Polanco, J., Moya, E. & Hashemi, A. & 8 others, , Jan 2026, In: Molecular Psychiatry. 31, 1, p. 137-157 21 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Predicting Patient Self-reported Race From Skin Histological Images with Deep Learning
Chen, S., Verma, R., Clare, K., Jegminat, J., Alleva, E., Huang, K. L., Veremis, B., Fuchs, T. & Campanella, G., 2026, Fairness of AI in Medical Imaging - 3rd International Workshop, FAIMI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Puyol-Antón, E., Feragen, A., Cheplygina, V., Glocker, B., Lee, H., Ferrante, E., King, A., Ganz-Benjaminsen, M. & Petersen, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 104-114 11 p. (Lecture Notes in Computer Science; vol. 15976 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Systemically inducing trained immunity overcomes solid tumors' immunosuppressive microenvironment
Priem, B., Willemsen, L., Anbergen, T., van Elsas, Y., Deckers, J., Schrijver, D. P., Hofstraat, S. R. J., Messing, I. V., Munitz, J., Honing, D., Prévot, G., Toner, Y. C., Morla, J., Wang, W., Ranzenigo, A., Sirchia, I., Post, T., Duivenvoorden, R., Kluza, E. & Cremers, G. A. O. & 16 others, , 2 Jan 2026, In: Science advances. 12, 1, p. eadu0292Research output: Contribution to journal › Article › peer-review
Open Access -
Wearable devices detect physiological changes that precede and are associated with symptomatic and inflammatory rheumatoid arthritis flares
Sharma, P., Danieletto, M., Whang, J. K., Landell, K., Helmus, D., Sands, B. E., Suarez-Farinas, M., Gulko, P. S. & Hirten, R. P., Dec 2026, In: Scientific Reports. 16, 1, 318.Research output: Contribution to journal › Article › peer-review
Open Access -
2024 Update of the RECOVER-Adult Long COVID Research Index
Geng, L. N., Erlandson, K. M., Hornig, M., Letts, R., Selvaggi, C., Ashktorab, H., Atieh, O., Bartram, L., Brim, H., Brosnahan, S. B., Brown, J., Castro, M., Charney, A., Chen, P., Deeks, S. G., Erdmann, N., Flaherman, V. J., Ghamloush, M. A., Goepfert, P. & Goldman, J. D. & 33 others, , 25 Feb 2025, In: JAMA - Journal of the American Medical Association. 333, 8, p. 694-700 7 p.Research output: Contribution to journal › Article › peer-review
Open Access27 Scopus citations -
A distributional reinforcement learning model for optimal glucose control after cardiac surgery
Desman, J. M., Hong, Z. W., Sabounchi, M., Sawant, A. S., Gill, J., Costa, A. C., Kumar, G., Sharma, R., Gupta, A., McCarthy, P., Nandwani, V., Powell, D., Carideo, A., Goodwin, D., Ahmed, S., Gidwani, U., Levin, M. A., Varghese, R., Filsoufi, F. & Freeman, R. & 12 others, , Dec 2025, In: npj Digital Medicine. 8, 1, 313.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: An AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA)
Naghavi, M., Atlas, K., Reeves, A., Zhang, C., Wasserthal, J., Atlas, T., Henschke, C. I., Yankelevitz, D. F., Zulueta, J. J., Budoff, M. J., Branch, A. D., Ma, N., Yip, R., Fan, W., Roy, S. K., Nasir, K., Molloi, S., Fayad, Z., Mcconnell, M. V. & Kakadiaris, I. & 8 others, , 12 Apr 2025, In: BMJ Open Diabetes Research and Care. 13, 2, e004760.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea
Fauveau, V., Patel, H., Prevot, J., Xu, B., Cohen, O., Khan, S., Robson, P. M., Fayad, Z. A., Lippert, C., Greenspan, H., Shah, N. & Kundel, V., Dec 2025, In: Diagnostics. 15, 24, 3243.Research output: Contribution to journal › Article › peer-review
Open Access -
Artificial Intelligence–Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality
Khosravi, P., Fuchs, T. J. & Ho, D. J., 1 Jul 2025, In: Cancer Research. 85, 13, p. 2356-2367 12 p.Research output: Contribution to journal › Review article › peer-review
5 Scopus citations -
Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives
Marra, A., Morganti, S., Pareja, F., Campanella, G., Bibeau, F., Fuchs, T., Loda, M., Parwani, A., Scarpa, A., Reis-Filho, J. S., Curigliano, G., Marchiò, C. & Kather, J. N., Jul 2025, In: Annals of Oncology. 36, 7, p. 712-725 14 p.Research output: Contribution to journal › Review article › peer-review
19 Scopus citations -
A scalable framework for benchmark embedding models in semantic health-care tasks
Soffer, S., Omar, M., Gendler, M., Glicksberg, B. S., Kovatch, P., Efros, O., Freeman, R., Charney, A. W., Nadkarni, G. N. & Klang, E., 1 Dec 2025, In: Journal of the American Medical Informatics Association. 32, 12, p. 1877-1887 11 p.Research output: Contribution to journal › Article › peer-review
Press/Media
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Researchers from Icahn School of Medicine at Mount Sinai Detail Findings in Sepsis (Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Causal Machine Learning Approach)
Oh, W., Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Kovatch, P., Chan, L., Charney, A., Oropello, J., Hofer, I., Sakhuja, A., Tandon, P., Al-Taie, Z. & Kraft, M.
9/01/26
1 item of Media coverage
Press/Media
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Data on Ulcerative Colitis Detailed by Researchers at Icahn School of Medicine at Mount Sinai (Disease Duration Impacts Intestinal Gene Expression Profiles In Crohn's Disease but Not In Ulcerative Colitis)
Merad, M., Ungaro, R., Cohen, J., Suarez-Farinas, M., Cohen, L., Cohen, J., Schadt, E., Bottinger,, E., Argmann, C., Sands, B. E., Petralia, F., Colombel, J.-F. & Dubinsky, M.
7/01/26
1 item of Media coverage
Press/Media
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HMN 2026: How AI could help predict nutrition risks in ICU patients
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
3/01/26 → 5/01/26
2 items of Media coverage
Press/Media
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Data on Obstructive Sleep Apnea Described by Researchers at Icahn School of Medicine at Mount Sinai (A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea)
Greenspan, H., Kundel, V., Cohen, O., Robson, P., Shah, N. & Fayad, Z.
5/01/26
1 item of Media coverage
Press/Media
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Reports from Icahn School of Medicine at Mount Sinai Advance Knowledge in Artificial Intelligence (Integration of Artificial Intelligence and Wearable Devices in Pediatric Clinical Care: A Review)
Nadkarni, G., Gangadharan, S., Glicksberg, B., Charney, A., Klang, E. & Holmes, E.
2/01/26
1 item of Media coverage
Press/Media
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Early identification of nutrition risk in ICU patients using artificial intelligence
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A., Klang, E. & Patel, M.
22/12/25 → 24/12/25
5 items of Media coverage
Press/Media
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AI Could Help Predict Nutrition Risks in ICU Patients, Study Finds
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
22/12/25 → 23/12/25
4 items of Media coverage
Press/Media
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AI Model Predicts Which Ventilated ICU Patients Are at Risk of Being Underfed
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
22/12/25
1 item of Media coverage
Press/Media
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AI Could Help Predict Nutrition Risks in ICU Patients, Study Finds
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
22/12/25
1 item of Media coverage
Press/Media
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New Acute Kidney Injury Data Have Been Reported by Researchers at Icahn School of Medicine at Mount Sinai (Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning Approach)
Oh, W., Kohli-Seth, R., Chan, L., Charney, A., Oropello, J., Hofer, I., Tandon, P., Al-Taie, Z. & Kraft, M.
19/12/25
1 item of Media coverage
Press/Media
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