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Deep Learning based Models for Drug-Target Interactions

مجلة بغداد للعلوم
The typical drug development approach is slow, costly, and fraught with failure - scientists examine millions of compounds, but only a few make it to preclinical or clinical testing.
Ali K. Abdul Raheem, Ban N. Dhannoon
doaj   +1 more source

Deep Learning for Control of Light-Matter Interactions [PDF]

EPJ Web of Conferences, 2022
Mills Ben, Praeger Matthew, Xie Yunhui, McDonnell Michael, Courtier Alex, Grant-Jacob James, Zervas Michalis   +6 more
doaj   +1 more source

Interactive Learning

, 2012
Im Sinne des maschinellen Lernens ist im Rahmen dieser Arbeit ein interaktives Trainingssystem entstanden, welches dem Benutzer ermöglicht, erworbenes Wissen in den Trainingsprozess einzubringen. Trainiert wird dabei ein Kaskadenklassifikator anhand von Videodaten. Es existieren viele Systeme für das Training eines Klassifikators.
openaire   +4 more sources

Learning to interact, interacting to learn action-centric reinforcement learning

Apprendre à interagir, interagir pour apprendre, apprentissage par renforcement centré sur les actions Dans cette thèse de doctorat, nous étudions l'apprentissage séquentiel (dit ``par renforcement'') en intelligence artificielle, plus particulièrement les notions d'actions et d'interactivité. En apprentissage par renforcement, un agent
openaire   +2 more sources

Artificial Intelligence Models and Tools for the Assessment of Drug–Herb Interactions

Pharmaceuticals
Artificial intelligence (AI) has emerged as a powerful tool in medical sciences that is revolutionizing various fields of drug research. AI algorithms can analyze large-scale biological data and identify molecular targets and pathways advancing ...
Marios Spanakis, Eleftheria Tzamali, Georgios Tzedakis, Chryssalenia Koumpouzi, Matthew Pediaditis, Aristides Tsatsakis, Vangelis Sakkalis   +6 more
doaj   +1 more source

Semi-supervised meta-learning elucidates understudied molecular interactions

Communications Biology
Many biological problems are understudied due to experimental limitations and human biases. Although deep learning is promising in accelerating scientific discovery, its power compromises when applied to problems with scarcely labeled data and data ...
You Wu, Li Xie, Yang Liu, Lei Xie
doaj   +1 more source

Interactive Learning of Algorithms

, 2004
Visualization is believed to be an effective technique for learning and understanding algorithms in traditional computer science. In this paper, we focus on parallel computing and algorithms. An inherent difficulty with parallel programming is that it requires synchronization and coordination of the concurrent activities.
openaire   +2 more sources

Reframing learning interactions: transforming professional identity among students of traditional Korean medicine. [PDF]

BMC Med Educ
Park GM, Hong AJ.
europepmc   +1 more source

Language attitudes of Generation Z in responding to teacher questions in learning interactions. [PDF]

Codas
Suyitno I, Fawzi A, Arista HD.
europepmc   +1 more source