Texas A&M: Unleashing the Power of Artificial Intelligence to Improve Organs-on-A-Chip
January 27, 2024
January 27, 2024
COLLEGE STATION, Texas, Jan. 27 (TNSres) -- Texas A&M University's College of Engineering issued the following news:
Despite the challenges of working from home during the pandemic, Texas A&M University biomedical engineering doctoral student James Tronolone was determined to apply his interests in machine learning and artificial intelligence (AI) to answer one of the most challenging questions in his field -- how can the production quality of blood capillaries-on-a-chip be . . .
Despite the challenges of working from home during the pandemic, Texas A&M University biomedical engineering doctoral student James Tronolone was determined to apply his interests in machine learning and artificial intelligence (AI) to answer one of the most challenging questions in his field -- how can the production quality of blood capillaries-on-a-chip be . . .