Results 231 to 240 of about 5,876,040 (331)

Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics

Advanced Science, EarlyView.
Data‐driven inverse molecular design (IMD) is a promising approach to discovering new molecules with desired properties. Despite the remarkable progress, existing IMD methods lag behind in terms of trustworthiness, as indicated by their misalignment with the ground‐truth function that models the molecular dynamics.
Kevin Tirta Wijaya, Navid Ansari, Hans‐Peter Seidel, Vahid Babaei   +3 more
wiley   +1 more source

Control-Informed Reinforcement Learning for Chemical Processes. [PDF]

Ind Eng Chem Res
Bloor M, Ahmed A, Kotecha N, Mercangöz M, Tsay C, Del Río-Chanona EA.   +5 more
europepmc   +1 more source

Behavior Acquisition by Multi-Layered Reinforcement Learning.

, 2000
Yasutake Takahashi, Minoru Asada
openalex   +2 more sources

Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner [PDF]

, 2001
Kurt Driessens, Jan Ramon, Hendrik Blockeel   +2 more
openalex   +1 more source

From Code to Life: The AI‐Driven Revolution in Genome Editing

Advanced Science, EarlyView.
This review explores AI‐driven advancements in genome editing, focusing on CRISPR optimization, enhanced targeting precision, reduced off‐target effects, and novel tool design. It addresses ethical challenges, data biases, and highlights future prospects in precision medicine, agriculture, and synthetic biology.
Zhidong Li, Wasi Ullah Khan, Genxiang Bai, Chao Dong, Jungang Wang, Youpeng Zhang, Chong Wang, Hongbin Zhang, Wenyi Wang, Ming Luo, Fei Chen   +10 more
wiley   +1 more source

Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. [PDF]

PLoS One
Naeem MR, Amin R, Farhan M, Alsubaei FS, Alsolami E, Zakaria MD.   +5 more
europepmc   +1 more source

Advanced Pharmaceutical Nanotechnologies Applied for Chinese Herbal Medicines

Advanced Science, EarlyView.
This review offers a comprehensive overview of pharmaceutical nanotechnology strategies to address limitations associated with the complex material basis and relative mild therapeutic efficacy of Chinese herbal medicines, and summarizes the advantages of these strategies.
Jiameng Li, Ya‐Li Zhang, Tong Jin, Zhaokui Jin, Mengliang Zhu, Guangchao Qing, Jinchao Zhang, Zhisen Wang, Yan Mu, Jin Li, Qian Hua, Xing‐Jie Liang   +11 more
wiley   +1 more source

scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data. [PDF]

Biology (Basel)
Fu Z, Chen C, Wang S, Wang J, Chen S.
europepmc   +1 more source

DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning [PDF]

, 2001
Carlos E. Mariano, Eduardo F. Morales
openalex   +1 more source

Nanoparticle‐Mediated CXCL12–CXCR4 Inhibition Reprograms Macrophages and Suppresses Gastric Carcinoma

Advanced Science, EarlyView.
Molecular mechanism study of self‐assembled M2pep‐Cs NPs/Plerixafor nanoparticles in targeting MΦ reprogramming by regulating the CXCL12–CXCR4 signaling pathway to enhance immune recognition and clearance of GC (Created by BioRender). Abstract Gastric carcinoma (GC) remains a major global health challenge, requiring novel therapeutic approaches.
Qianqian Cao, Xiaolei Cheng, Rongbin Lv, Dianshui Sun, Jihua Wang, Runjia Fu, Rumei Gong, Yueying Xiao, Qin Liu, Xiaomei Li   +9 more
wiley   +1 more source