As Chief Operating Officer, Manisha leads the commercialization and scaling of Clarify’s solutions portfolio. She also guides the achievement of customer impact as the leader of the implementation and customer success teams. For many years, Manisha has been passionate about improving patient outcomes and promoting the shift to value. Prior to Clarify, she spent more than 15 years with different types of healthcare organizations in the US, Europe, and emerging markets to improve performance and patient care. Most recently, she was a Partner at McKinsey, working in healthcare across the Health Systems, Medical Products, and Life Sciences practices. Manisha has worked extensively on how different stakeholders in the healthcare system can integrate digital technologies and data in new ways, take on risk through different payment models, and launch software and service offerings.
AI and Data Sciences Showcase:
Clarify Health Solutions
Clarify Health Solutions delivers advanced analytics and digital solutions that empower providers, payers, and life science organizations to optimize patient care and clinical trials.
AI/ML-Driven Clinical Trial Design And Patient Selection
Artificial intelligence holds the promise to revolutionize health care and directly impact the clinical trials process via expediting the recruitment of eligible clinical trial patients. The systems currently developed with the use of AI/ML enable higher patient enrollment rates and better trial assignment, contribute to reducing the cost of recruitment via additional/more efficient medical tests, and facilitate analysis and integration of operational data from historical cases. This session focuses on various applications of AI in clinical trial design and patient selection.
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.