AI in Healthcare @ JP Morgan Healthcare Conference
Jan 08 - San Francisco

Artificial intelligence has been rapidly transforming the healthcare industry. It is critical for stakeholders to understand how the latest innovations are using AI to address some of the most pressing challenges in healthcare diagnosis, treatment, prevention, and research. 

You are invited to attend this information and networking event at the 2024 JP Morgan Healthcare Conference. Along with a curated selection of innovative companies in the field, see around the corner for what comes next. You will have the chance to explore and interact with some of the most promising start-up companies who are developing cutting-edge AI technologies for healthcare applications. Join us and other MIT alumni on January 8th, 2024 as a wrap-up to day one of the JPM conference. 

You can visit with the founders and team members of both new and established start-ups who will be showcasing their products and services. Expected attendees include investors, industry and financial analysts, and corporate executives. Participants at past events have discovered investment opportunities, identified early adopters, and recruited new team members. Whether you want to learn about specific companies, engage in casual conversation, or meet up with fellow alumni and their guests, don’t miss this unique opportunity. Register now and secure your spot to discover the next generation of AI in healthcare. Space will be limited, especially for companies interested in being showcased as exhibitors.

Event is Sold Out!

Note: Each registrant will receive an email directly from McKinsey & Co with a QR code for access to the building. Only registered ticket holders will have access to the building and there will be no day of/walk-in registration.

Company Exhibitor Tables - SOLD OUT!

If you are interested in joining us to showcase your company in 2025, please send an email to to join an interest list for 2025.

Our January 8, 2024 event, "AI in Healthcare" promises to be well-attended; MIT alumni from all over the world are flying in to attend the JP Morgan Healthcare conference. "AI in Healthcare" is part of our monthly healthcare & life sciences event series, ongoing since 2017, when it was kicked-off at our "Future of AI Conference". Our events are organized by MITCNC volunteers, and OPEN TO ALL!


The Verbal AI leverages the power of conversation intelligence and generative AI to help healthcare payers, providers and care staff automate admin work, streamline QA and level up team performance.

ReviveMed: an AI-driven metabolomic platform for precision medicine.

Vision Care AI's novel digital therapeutic aims to tackle the ever-growing and fast-progressing myopia market by using AI to convert digital content into a personalized retinal input that slows disease progression.

Agemica is on a mission to create a vaccine for aging using AI, drug repurposing and genomics.

Interface Biosciences is an AI-enabled metabolomics based drug discovery engine for the treatment of inflammatory disease. is a low-code platform and marketplace for biomedical AI, making it accessible and widely adopted in life sciences.

Live tracking of R&D decisions and milestones.

Persist is an AI-enabled cloud formulation lab for discovery teams to build formulations 10x faster & cheaper.

Innsightful utilizes wearables and AI to objectively measure mental health conditions and provide just-in-time therapy.

DaVinci Wearables empowers female active lifestyles, health and wellness. It consists of a mobile app, a data platform, and smart garments that work together to provide AI-driven personalized coaching and sports-specific actionable insights.

ImYoo is a patient-enabled biodiscovery platform powering development of precision medicine.

Pandia Health offers personalized care for women's hormonal health.

Neursantys is delivering innovative non-invasive bioelectronic devices and treatment protocols for neuromotor conditions that otherwise have limited treatment options. automates the process of MRI scanning, improving the efficiency of MR operations, improving accuracy and repeatability, and reducing the need for hard-to-find scan technologists.

Generative AI for Employer Health and Benefits.

Monere has a unique app for rapid anemia screening using AI with smartphone images.

Abiogenix makes connected health technologies to help people live healthier, happier lives.

GTcardio's mission is to help people reduce vascular age and minimize the risk of cardiovascular and metabolic diseases.

Dedicated to help clinicians and patients make the optimal cancer treatment decisions, Auspex Diagnostics' cancer recurrence risk assay is validated to achieve 2x-3x performance in assessing cancer recurrence risk and identifying patients that would benefit from receiving adjuvant chemotherapy.

McKinsey’s healthcare analytics products leverage our unparalleled data lake and advanced analytics to generate workflow-ready insights.

Accelerating medical device and clinical product development with the help of AI assistants

Venue Sponsor:

Thanks to McKinsey & Company for hosting this MITCNC event. 

#MITCNC #MIT #AI #Healthcare #JPMorgan #AIinHealthcare

Refund Policy: Attendee tickets may be refunded up to 7 days prior to the event date. Exhibitor Tickets are non refundable.


Event Disclaimer:
Because this event is in person, you acknowledge the below by coming to this event.

I acknowledge and understand that: (i) I am not required to participate in this event; (ii) my participation is voluntary and at my sole risk; and (iii) I am responsible for my own protection against Covid-19, including, without limitation, following all health and safety protocols communicated to me or posted at the event venue.

MIT Alums:

Please make sure you are a current member of our club before registering. If you are unsure please ask or if you would like to join MIT Club of Northern California, click here.

Event Closed

Date and Time

Monday, January 08, 2024
6:00 PM - 9:00 PM PT

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McKinsey & Company
555 California St.
San Francisco, CA, 94104

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Serena Chung

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