Results 191 to 200 of about 280,132 (308)

Physicians' Knowledge and Attitude about Generic Drugs in the Republic of Kazakhstan. [PDF]

Med J Islam Repub Iran
Nakipov Z, Kaliyeva D, Turgambayeva A, Kerimbayeva Z, Arystanov Z, Arystanova T, Ivanchenko N, Awadalla NJ.   +7 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Generic Drugs and the Struggle to Compete: The Role of Skinny Labels. [PDF]

Clin Ther
Boumil MM, Beninger P.
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

The Impact of the Consistency Evaluation Policy of Generic Drugs on R&D Investment Intensity of Pharmaceutical Companies-An Empirical Study Based on the Difference-in-Differences Model. [PDF]

Front Public Health, 2022
Wei Y, Zhu J, Qiao J, Zhang D, Chen Y.
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Expected Next-Generation Drugs [PDF]

International Neurourology Journal, 2017
openaire   +3 more sources

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Corrigendum to "Comprehensive bibliographic study of the framework of complex generic drugs" [J Taibah Univ Med Sci 20 (2) (April 2025) 169-177]. [PDF]

J Taibah Univ Med Sci
Sreedevi A, Ligade VS, Dewan S.
europepmc   +1 more source

Is the Quality of Generic Drugs Cause for Concern? [PDF]

J Manag Care Spec Pharm, 2020
Hussar DA.
europepmc   +1 more source