Results 141 to 150 of about 3,873,966 (294)

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Patient Perception and Ethical Trade-Offs in Resource Allocation: A Qualitative Study with Conceptual Simulation in a Romanian Municipal Hospital. [PDF]

Healthcare (Basel)
Palamaru AL, Cumpăt CM, Vicol MC, Oprea L, Zouri M, Zouri N, Toader E.   +6 more
europepmc   +1 more source

Technoeconomic and sustainability analysis of batch and continuous crystallization for pharmaceutical manufacturing

AIChE Journal, EarlyView.
Abstract In pharmaceutical industries, continuous manufacturing methods have already been well established to improve productivity and process intensification. However, to better understand the trade‐offs of continuous crystallizers over the existing batch production systems, a robust technoeconomic cost and sustainability analysis is necessary to ...
Jungsoo Rhim, Zoltan K. Nagy
wiley   +1 more source

Health policy, collaboration and investment in the post-COVID era: a review from UHC and health security integration perspective. [PDF]

Global Health
Saikat S, Shivji S, Seifeldin R, Zhang Y, Shah A, Schmets G, Sreedharan R, Chungong S.   +7 more
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Social impact bonds: opportunities for funding health promotion and disease prevention. [PDF]

BMC Public Health
Plankó S, Hulse E, Rutten-van Mölken M, Goossens L, Wordsworth S, Koleva-Kolarova R, Tsiachristas A, Wright S, Zemplényiné Bartha J, Nagy B, Babarczy B.   +10 more
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

A Social Return on Investment Evaluation of the Expansion of an Allied Health Student Training Programme in Rural Australia. [PDF]

Aust J Rural Health
French L, Lander C, Green E, Nott M, Anderson G, Brusco NK.   +5 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Optimising Investment in Health Innovations in Europe. [PDF]

J Mark Access Health Policy
Adeyemo T, Wilsdon T, Vandorou C, Davies F, Godet A.   +4 more
europepmc   +1 more source