Results 181 to 190 of about 353,184 (297)

Severe Cytokine Release Syndrome After CAR T Cell Therapy in a Pediatric Patient With Relapsed ALL

Case Reports in Oncological Medicine
Abdulrahman Alotaibi, Noura Alajmi, Mohammed Alnuhait   +2 more
doaj   +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

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Telepharmacy Implementation to Support Pharmaceutical Care Services during the COVID-19 Pandemic: A Scoping Review. [PDF]

Can J Hosp Pharm
Sarasmita MA, Sudarma IW, Jaya MKA, Irham LM, Susanty S.   +4 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Evaluating Safety and Effectiveness of Switching Biologics in Managing Severe Asthma Patients [Corrigendum]

Journal of Asthma and Allergy
Al Awn L, AlAmmari M, AlAbdulkarim D, AlAhmed R, Yadav B, AL-Jahdali H. J Asthma Allerg. 2025;18:1161—1166. Page 1161, Abstract, Results, line 4, the text “the mean number of exacerbations decreased after switching to a different ...
Al Awn L, AlAmmari M, AlAbdulkarim D, AlAhmed R, Yadav B, AL-Jahdali H   +5 more
doaj  

Evaluating consumer self-medication practices, pharmaceutical care services, and pharmacy selection: a quantitative study. [PDF]

BMC Health Serv Res
Nazaryan L, Nazaryan L, Barseghyan A, Rayisyan M, Beglaryan M, Simonyan M.   +5 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Evaluating Safety and Effectiveness of Switching Biologics in Managing Severe Asthma Patients

Journal of Asthma and Allergy
Leena Al Awn,1– 3 Maha AlAmmari,1– 3 Dalal AlAbdulkarim,1– 3 Reem AlAhmed,3– 5 Bijesh Yadav,3,5 Hamdan AL-Jahdali3– 5 1Department of Pharmaceutical Care Services, King Abdulaziz Medical City (KAMC), Ministry of National Guard Health Affairs, Riyadh ...
Al Awn L, AlAmmari M, AlAbdulkarim D, AlAhmed R, Yadav B, AL-Jahdali H   +5 more
doaj