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The dream of precision health is to develop a data-driven, continuous learning system where new health information is instantly incorporated to optimize care delivery and accelerate biomedical discovery. In reality, the health ecosystem is plagued by overwhelming unstructured data and unscalable manual processing. Self-supervised AI such as large language models (LLMs) can supercharge structuring of biomedical data and accelerate transformation towards precision health

This practical webinar will look at what mentoring is, and why it can make a difference. Mentoring has long been recognized as a powerful tool in career development. Research backs this, showing mentored individuals to have higher career satisfaction and greater commitment to their profession than non-mentored individuals. Additionally, the mentoring relationship can benefit both parties providing multiple rewards.

This session will present the work of a community of practice supported by the Gordon and Betty Moore foundation to promote the use of NLP “at-scale” in CQM used in accountability programs.

Join the Natural Language Processing Working Group for a talk from Dr. Trevor Cohen on Probing the Dimensions of Meaning in Medicine with Distributed Representations of Biomedical Language.

Sepsis is a life-threatening medical condition that, if not treated promptly, can result in tissue damage, organ failure, and death. According to the Centers for Disease Control, about 270,000 individuals die of sepsis in the United States each year. Further, sepsis expenditures accounted for 13% of total US hospital costs in 2013, totaling more than $24 billion.

Patient reported outcomes (PROs) include any report of the status of a patient's health condition that comes directly from the patient, without interpretation of the patient's response by a clinician or anyone else. PROs for functional status information describes the patient's physical and mental wellness at the whole-person level (as opposed to the cellular or organ level).