Byte-Sized Biology: How AI Decodes Human Health Bit-by-Bit

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For those eager to explore how artificial intelligence (AI) can enhance the understanding of neurological disorders and improve clinical efficiency, this conference offers a unique opportunity.

The Laboratory Medicine and Pathobiology Student Union at the University of Toronto is excited to host the 13th edition of its annual research conference series: "Byte-Sized Biology: How AI Decodes Human Health Bit-by-Bit".

In January, attendees will gather in Toronto to engage with groundbreaking research from globally recognized researchers focused on AI's role in human health. The conference aims to highlight the latest advancements in AI, machine learning, and bioinformatics, encouraging participants to discover the untapped potentials in healthcare.

Prominent figures such as Dr. Phedias Diamandis (UHN), who specializes in AI applications for neuropathology, and Dr. Muhammad Mamdani (Vector Institute, T-CAIREM, St.Michael's Hospital), who is dedicated to enhancing patient outcomes through AI, will be featured speakers. Other speakers include Dr. Michael Brudno (Vector Institute, UHN), Dr. Anna Goldenberg (T-CAIREM, SickKids), Dr. Susan Poutanen (UHN, Mount Sinai Hospital), Dr. Venkata Duvvuri (Public Health Ontario), Dr. Andrew Evans (Mackenzie Health), and Dr. Philip Kim (Donnelly Centre). The day will culminate in a panel discussion, allowing attendees to interact with these experts about the future of the field.

This conference is FREE and accessible to everyone, taking place in two auditoriums at the University of Toronto's St. George Campus. Attendees will be provided with breakfast and beverages. While lunch will be available only for University of Toronto undergraduate students, others will be accommodated on a first-come, first-served basis. Raffle prizes will also be awarded at the conference's conclusion. Check-in begins at 8:30 a.m.

Questions regarding the conference can be directed to lmpexecs@gmail.com; please include "LMPSU 2025 Conference" in the subject line.

Attendees do not require a computer science background to grasp the content, as speakers will present their findings in an accessible way. An email with simplified explanations of terms and concepts will be sent to all registrants before the conference. Participants are welcome to arrive late or leave early, but must check in upon arrival for logistical purposes. Updates regarding any weather-related complications will be communicated to registered attendees, and recording of presentations will not be permitted due to confidentiality concerns.