Results 101 to 110 of about 52,931 (300)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

High worldwide conservation of a Helicobacter pylori outer membrane protein [PDF]

, 2011
The genetic diversity and evolution of homD, coding for Helicobacter pylori outer membrane protein (OMP) was investigated in a panel of approximately 200 clinical and reference strains, isolated from patients from different geographical origins and ...
Breurec, Stéphane, Cordeiro, Rita, Mégraud, Francis, Ménard, Armelle, Oleastro, Mónica   +4 more
core  

CRISPR/Cas9‐Based Vanadium MXene‐Free Radical Spatiotemporally Controlled Nanoreactor for Photothermal‐Induced Multi‐Effect Synergistic Antitumor Therapy

Advanced Science, EarlyView.
In this study, a MXene‐based V4C3 nanoplatform, VARH, was constructed, which achieved a photothermal conversion efficiency of 44.21% in the NIR‐II window. This platform integrated photothermal therapy, chemodynamic therapy, and thermodynamic therapy with CRISPR/Cas9‐mediated heat shock protein 90 knock‐out technology.
Zi‐Jian Huang, Feng‐Ming Li, Yi‐Fan Tu, Ke‐Ke Feng, Cheng‐Lei Li, Shi‐Cheng Tian, Yong‐Shan Hu, Jing‐Wei Shao, Zhen‐Hua Liu   +8 more
wiley   +1 more source

Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort study

npj Digital Medicine
Early identification of postoperative delirium (POD) remains challenging. This retrospective observational study compared the performance of large language models (LLMs), Llama-3-70B and GPT-4o, and physicians in predicting clinically significant POD ...
Da-In Eun, Hyung-Chul Lee, Gang Heo, Jae Hoon Jeong, Jipyeong Lee, Hyeonhoon Lee, Sang-Youn Park, Karam Nam, Ho-Jin Lee, Jae-Woo Ju   +9 more
doaj   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Performance of GPT-3.5 and GPT-4 on the Korean Pharmacist Licensing Examination: Comparison Study

JMIR Medical Education
BackgroundChatGPT, a recently developed artificial intelligence chatbot and a notable large language model, has demonstrated improved performance on medical field examinations.
Hye Kyung Jin, EunYoung Kim
doaj   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

Comparitive performance of artificial intelligence-based large language models on the orthopedic in-training examination

Journal of Orthopaedic Surgery
Background Large language models (LLMs) have many clinical applications. However, the comparative performance of different LLMs on orthopedic board style questions remains largely unknown.
Andrew Y Xu, Manjot Singh, Mariah Balmaceno-Criss, Allison Oh, David Leigh, Mohammad Daher, Daniel Alsoof, Christopher L McDonald, Bassel G Diebo, Alan H Daniels   +9 more
doaj   +1 more source

Evaluation of Generative AI Models in Python Code Generation: A Comparative Study

IEEE Access
This study evaluates leading generative AI models for Python code generation. Evaluation criteria include syntax accuracy, response time, completeness, reliability, and cost. The models tested comprise OpenAI’s GPT series (GPT-4 Turbo, GPT-4o, GPT-
Dominik Palla, Antonin Slaby
doaj   +1 more source

Can Artificial Intelligence aid communication? Considering the possibilities of GPT-3 in Palliative care. [PDF]

Indian J Palliat Care, 2023
Srivastava R, Srivastava S.
europepmc   +1 more source