More details and special access information coming soon …

The AI in Health Conference is an opportunity to connect with and learn from researchers, engineers, clinicians, and entrepreneurs at the forefront of artificial intelligence in healthcare and public health. Brought to you by the Ken Kennedy Institute at Rice University, this program will address the current state of artificial intelligence in health and showcase a research-based outlook on the next 10 years. 

The AI in Health Conference will take place in Houston, home of the largest medical center in the world - the Texas Medical Center - which hosts 60+ member institutions that are visited by 10 million patients each year. The intersection of healthcare and artificial intelligence holds potential, unlike any other innovation the medical industry has seen before. Artificial intelligence’s ability to operate and automate tasks at heightened speed, efficiency, and accuracy has already made an impact on day-to-day hospital care and administrative functions.

Save the date for the 2023 conference on October 9-12, 2023 for invited speaker sessions, technical talks, an exhibit hall, networking receptions, poster presentations, and add-on workshops. Sign up for their newsletter for updates.

Join us at BioTechX Europe

BioTechX Europe is Europe’s largest congress covering diagnostics, precision medicine and digital transformation in pharmaceutical development and healthcare. Over the years we have fostered strong relationships with local partners such as the Canton of Basel, Novartis, Roche and various incubators to cover the full pipeline of drug development.

In 2023 our 3-day event will return to Basel, the pharma hub of Europe, this time with 2500 leaders in the field, 450 speakers and 100 start-ups all under one roof. The BioTechX Europe Congress features speakers from the top 50 pharmaceutical companies, biotechs, healthcare systems and academic groups creating endless networking opportunities

Join AAIH leadership — including Executive Director Elaine Hamm, PhD, and AAIH Treasurer James Zanewicz at BIO on the BAYOU! This event presents University Research the way YOU want it, as the signature event showcases academic science & biotech from the entire Gulf South region. Join senior executives and top decision-makers from the corporate, investor, foundation, government, and academic sectors as we work together at the business conference to advance cutting-edge research from the bench to the bedside.

Join us at BioTechX USA

BioTechX USA covers diagnostics, precision medicine and digital transformation in pharmaceutical development and healthcare.

Following in the steps of our sister congress BioTechX Europe which over the years has fostered relations with the likes of the Canton of Basel, Novartis, Roche and various incubators we hope to foster relations with companies such as Pfizer, Mayo Clinic and various healthcare providers in the months leading to the BioTechX USA event.

BIO International Convention

We return to BIO 2023 in Boston with a full lineup of educational and networking opportunities around AI + Healthcare.

Tuesday, June 6

• Bio from the Bayou Cocktail Reception

  • Co-Hosted by New Orleans BIO

    • 7:00 p.m. - 9:00 p.m.

    • Open to active AAIH Members in good standing.

    • Click here to register!

Thursday, June 8

• PDUFA VII and Beyond: Building Confidence in AI Tools as New “Gold Standards” for Drug Development

  • Companies and regulators are turning to artificial intelligence and machine learning models across the entire life-cycle of product development, from drug discovery and clinical research to postmarket safety surveillance, to help make drug development more efficient and optimize real-world patient outcomes. In early May 2023, FDA issued a discussion paper on Using Artificial Intelligence and Machine Learning in the Development of Drug and Biologic Product,s requesting stakeholder feedback on how to best develop “standards for trustworthy AI that address specific performance in areas such as explainability, reliability, privacy, safety, security, and bias mitigation

  • 9:00 a.m. -10:00 a.m. in Session Room 254B

  • Panelists include:

    • Paul Howard, Senior Director of Public Policy, Amicus Therapeutics (moderator)

    • Maria Luisa Pineda, CEO, Envisagenics

    • Stacy Amin, Partner, Morrison Foerster

    • Joseph Lehar, SVP, R&D Strategy, Owkin

Registration for the AAIH Annual Members Meeting is now closed.

Questions? Please get in touch with us.

Hosted by

U-M Annual Data Science & AI Summit 2022

November 14-15, 2022

The annual Summit (previously known as the annual Symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration.

It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

Click here to register

BioTechX

November 8-10, 2022

BioTechX is Europe’s largest congress covering diagnostics, precision medicine and digital transformation in pharmaceutical development and healthcare.

BioTechX successfully brings together an amalgamation of genomics, translational medicine, data scientists, IT, bioinformaticians, cheminformaticians, clinicians, healthcare and pharma companies. The event will showcase innovation, demonstrate success and break through the obstacles and barriers to ensure that the innovations in genomics and big data, enter the clinic with speed and efficiency.

Join us and be part of the story in 2022 with 400 speakers and 2,000+ attendees.

2022 AI in Health Conference

November 8-9, 2022

On November 8th and 9th, attend the AI in Health Conference to connect with and learn from academia, government, and healthcare professionals at the forefront of AI. Brought to you by the Ken Kennedy Institute at Rice University, this conference will begin by addressing the current state of AI in Health and showcase a research-based outlook on the next 10 years of research, adoption, and funding.

BIO on the BAYOU

November 2-3, 2022

BIO on the BAYOU presents University Research the way YOU want it, as the regions signature event returns on Nov 2nd & 3rd to showcase academic science from the entire Gulf South region.

Join senior executives and top decision-makers from the corporate, investor, foundation, government, and academic sectors as we work together to advance cutting-edge research from the bench to the bedside – and enjoy one-to-one partnering powered by industry standard partneringONE®.

Be a part of the relaunch of this signature event – at no charge this year - and ensure your voice is an active part of building what is sure to become the next great can’t-miss bioscience event. Sign up today at https://bioonthebayou.com/

The Ken Kennedy Institute is putting on a Machine Learning Boot Camp for Executives and Beginners, happening in person in Houston May 19-20 at the BRC on Rice University campus. This two-day boot camp will provide a broad introduction to Machine Learning (ML) for executives and beginners. Our goal is to give a manager or a CEO in a field such as medicine, finance, manufacturing, or energy an introduction to the essential concepts behind Machine Learning. Additionally, this boot camp is great for non-practicing beginners looking to learn. Taught by a team of Rice professors in the computational sciences, the Machine Learning Boot Camp will integrate lectures describing the basic concepts to state-of-the-art Machine Learning.

The boot camp assumes no specific prerequisites and will highlight a broad set of concepts, ranging from classical supervised (e.g., linear regression, logistic regression and decision trees) and unsupervised methods (e.g., clustering algorithms, principal components analysis) to modern machine learning approaches (e.g., different neural network architectures, min-max games and generative models, deep reinforcement learning), with numerous case studies and applications. Throughout its duration, the workshop will provide practical suggestions to executives with DOs and DON’Ts when using Machine Learning in practice.

Prerequisites: A general level of familiarity with mathematics is assumed, including college-level calculus, though those without this background will still find the boot camp a useful introduction to modern ML.

This is an in person event only. The boot camp will not be live streamed or recorded.