Speaker Profile

MBA, SVP, Global Head Pharma & Biotech, Molecular Health

Biography
Blanca leads the Pharma & Biotech commercial efforts at Molecular Health offering analytical and AI platforms that help de-risk R&D via elucidating and predicting drug outcomes for specific patient profiles and via predicting the success of clinical trials. She started with building a business plan, a team, and implementing the strategy she had crafted. Today, the business has gained renowned customers is about to launch a first-in-class POS AI tool that has unprecedented predictive accuracy, MH Predict. Blanca’s passion is to bring to market and grow disruptive technologies that have the power to drastically improve health outcomes and standards of care. She has an extensive commercial career in different leadership roles in pharma & healthcare technology across multiple geographies. Before devoting to healthcare, she held roles in consulting, oil & gas, government, and retail.


AI and Data Sciences Showcase:
Molecular Health

Molecular Health is a transformational biomedical intelligence company whose vision is to improve health by liberating the power of biomedical data. It creates predictive models that deliver actionable insights on treatments, diagnosis, and prevention.

De-risking R&D With AI: Payoffs From Adopting The Black Box
Millions and billions are lost every year due to R&D failures. Patients around the world are recruited into clinical trials that end up failing. Human expertise can be greatly complemented by artificial brains. The case for larger adoption of these tools to aid day-to-day decisions.

 Session Abstract – PMWC 2020 Silicon Valley


The PMWC 2020 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.