Deep Learning, Personalized Pharmacotherapy, Pregnancy, Psychiatric Disorders, Electronic Health Records, Drug Efficacy Share and Cite: Filippis, R. and Foysal, A. (2025) Deep Learning for ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Google, Facebook and LinkedIn are among those utilising ...

In fact, many measures of the computational complexity of cutting-edge foundation models are already close to those of the human brain. The computational complexity of human brains is bounded by ...

For conventional methods, physical modeling of the electron velocity saturation effect (VSE) is often hard to realize in nonlinear capacitance models due to the lack of an effective boundary potential ...

Our approach integrates Mixed Integer Linear Programming (MILP) and the genetic algorithms to develop a graph model that represents the different functional areas of a shelter hospital as vertices. In ...