The design space of Federated Learning

https://www.linkedin.com/pulse/179b-year-gap-between-ai-acts-asks-anirban-mukhopadhyay-jda0e/

1. https://www.linkedin.com/pulse/structure-world-model-anirban-mukhopadhyay-njpde/2. SWoMo: https://ssharvienkumar.github.io/SWoMo/

Blogpost on broader design space: https://lnkd.in/p/dRU6tVuJNeural Tangent Kernel for Federated Learning: https://lnkd.in/p/dvC56MZhBMVC paper arxiv:https://arxiv.org/abs/2608.12108FedNCA paper:https://link.springer.com/chapter/10.1007/978-3-032-05185-1_17

Keynote of MICCAI26 Workshop CLiMeM

LinkedIn posts on Pathology AI1. https://www.linkedin.com/pulse/payers-dont-pay-ai-pathology-tests-anirban-mukhopadhyay-sjyse/ 2. https://www.linkedin.com/pulse/pathology-ai-doesnt-pay-slide-reading-pathologist-mukhopadhyay-azvge/ 3. https://www.linkedin.com/pulse/big-pharmas-ai-pipeline-only-fast-preclinical-tox-mukhopadhyay-fanke/

1. Getting reimbursed for Radiology AI Screening: https://www.linkedin.com/pulse/getting-reimbursed-radiology-ai-screening-anirban-mukhopadhyay-6z5ve/2. Making Money with Mammography AI: https://www.linkedin.com/pulse/making-money-mammography-ai-anirban-mukhopadhyay-28yre/

1. Getting reimbursed for Radiology AI Screening: https://www.linkedin.com/pulse/getting-reimbursed-radiology-ai-screening-anirban-mukhopadhyay-6z5ve/2. Making Money with Mammography AI: https://www.linkedin.com/pulse/making-money-mammography-ai-anirban-mukhopadhyay-28yre/3. Payers don't pay for AI pathology. They pay for tests: https://www.linkedin.com/pulse/payers-dont-pay-ai-pathology-tests-anirban-mukhopadhyay-sjyse/

Jeya Maria Jose is a Senior Researcher at Microsoft Research. His research spans Computer Vision, Machine Learning, and NLP with an emphasis on Healthcare. In Microsoft Research, Jose is currently building multi-modal AI systems that harness large-scale real-world data to accelerate biomedical discoveries. GigaTIME Blog

On the 111th episode, our guest is Moritz Fuchs, a researchers from the Bosch Health Campus, Stuttgart Germany. Moritz Fuchs is an expert on Out-of-Distribution quantification in Medical Imaging.

Vamsi Velcheti is the Chief of Hematology and Oncology and Florida Department of Health Chair of Cancer Research at Mayo Clinic Florida, USA. An expert in lung cancer, Vamsi leads a multidisciplinary thoracic oncology program specializing in AI-driven predictive models,  biomarker-driven targeted therapies, immuno-oncology, and early-phase drug development.