Speaker Profile

MSc, VP Business Development, Gesund.ai

Biography
Marco is a serial entrepreneur with a long history of leadership positions in companies that deliver cutting-edge innovations in healthcare and life sciences. Accelerating and amplifying the clinical impact of innovations is what drives him. Since 2012 he has been building data-related products and businesses. Gesund.ai is pioneering the validation of medical AI models prior to - or for - FDA-approval with its proprietary technology platform, annotators network, and partnerships. Gesund's platform dramatically improves collaboration between the data science team and other internal stakeholders. Gesund.ai's customers are pharmaceutical companies and medical device companies. Gesund.ai partners with healthcare providers in the US and abroad.


Talk
AI Factory: Scaling Multimodal AI to Accelerate Clinical Trials
We have to graduate from "one-off" data science projects that are good for publishing papers but not putting compliant AIML into production at scale. In this talk, we discuss how the Gesund nocode AI factory accelerates AIML RD cycles bringing multimodal data, models and board-certified experts together, to unlock scientific breakthroughs and supercharge clinical trials.


AI and Data Sciences Showcase:
Gesund.ai

Gesund.ai is a compliant MLOps platform solving the medical AI validation problem by bringing case-specific data, models and board-certified physician annotators together in a no-code environment. We create regulatory-grade evidence in a reproducible, auditable and scalable manner compliant with best practices posed by medical stakeholders.

 Session Abstract – PMWC 2024 Silicon Valley

Showcase Track S1 - January 24 9.00 A.M.-4.45 P.M.,Showcase Track S1 - January 25 9.45 A.M.-4.00 P.M.,Showcase Track S1 - January 26 11.00 A.M.-3.45 P.M.


The PMWC 2024 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

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