04/29/2026
Advancements in Histology in Diagnostic Molecular Data and the Role of Artificial Intelligence in Modern Medicine
Presented by:
Dr. Nicholas Hoo-Fatt
Meet the Speaker
Dr. Nicholas Hoo-Fatt has been recognized as one of the Top 55 Laboratory Professionals Under 55 and is the recipient of the 2024 NSH Excellence in Whole Slide Imaging Award. Additionally, he was named an ASCP Blue Ribbon Top 5 Finalist. With over 20 years of experience in histology, Dr. Hoo- Fatt is a leader in bioinformatics, digital pathology, and molecular pathology. He has pioneered the use of RT-PCR for biomarker detection in cancer patients, implementing a 24-hour turnaround time (TAT) methodology that enhances diagnostic efficiency. Beyond his contributions to laboratory medicine, Dr. Hoo-Fatt is a passionate educator who fosters curiosity and learning among his students. Committed to giving back to the community, he leverages his expertise to mentor and inspire individuals of all ages to achieve their aspirations.
Presentation Abstract
A discussion on how recent advancements have revolutionized the ability to generate diagnostic molecular data from patient tissue. Combining developments in artificial intelligence (AI) and machine learning (ML), are now at the forefront of precision medicine. The practice of machine learning algorithms have enabled clinicians to analyze and interpret complex biological information. The utilization of AI and ML continue to evolve in understanding disease resistance mechanisms, tumor origination, risk assessment, early diagnosis, patient prognosis estimation, and personalized treatment plans with unprecedented accuracy. This convergence of technology and healthcare underscores the importance of interdisciplinary collaborations. Ensuring that innovations in computational biology translate into tangible benefits for patients treatment outcome.
Register for the Spring Seminar, June 6th,
https://www.mihisto.org/seminars