Results 221 to 230 of about 592,939 (351)

Elevated Risk of Complications in Patients Receiving Dual Antithrombotic Therapy Undergoing Hepatectomy: A Single‐Center Audit of 749 Cases

Annals of Gastroenterological Surgery, EarlyView.
This single‐center retrospective study evaluated perioperative outcomes after hepatectomy in 749 patients, including 140 receiving ATT, using propensity score matching to compare ATT and non‐ATT cohorts. Under standardized perioperative management, ATT did not increase major bleeding, transfusion, or severe morbidity overall; however, within the ATT ...
Haruki Mori, Hiromitsu Maehira, Nobuhito Nitta, Takeru Maekawa, Toru Miyake, Sachiko Kaida, Masatsugu Kojima, Katsushi Takebayashi, Takeshi Sonoda, Masaji Tani   +9 more
wiley   +1 more source

Cost-effective interventions to prevent prescription drug misuse: a systematic review. [PDF]

Front Public Health
Rodríguez-Tanta LY, Summers A, Shaya FT.   +2 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Mandatory Review of Prescription Drug MonitoringProgram Before Issuance of a Controlled SubstanceResults in Overall Reduction of PrescriptionsIncluding Opioids and Benzodiazepines

, 2020
Alaa Abd‐Elsayed
openalex   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Taxpayers' Share of US Prescription Drug and Insulin Costs: a Cross-Sectional Study. [PDF]

J Gen Intern Med
Schrier E, Himmelstein DU, Gaffney A, McCormick D, Woolhandler S.   +4 more
europepmc   +1 more source

A prospective observational study of drug prescription pattern of antibiotics in diabetic foot ulcer in tertiary care teaching hospital

, 2020
Kamalavarshini Paramasivamsasanger, Prema Mariappan, Dhivya Govindasamy, Padmavathi Karunakaran, Rajalakshmi Ramesh   +4 more
openalex   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Prescription Drug Coverage of Guideline-Directed Medical Therapy for People Living with Heart Failure with Reduced Ejection Fraction in Canada. [PDF]

CJC Open
Cowan SS, Kosar L, Poon S, Bains M, Costigan J, Ducharme A, Gewarges M, Groulx S, MacFarlane K, Nagpal S, Singer A, McKelvie R.   +11 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