Results 261 to 270 of about 4,510,822 (391)
Predicted Expenditure for Prescription Drugs for Multiple Sclerosis in the Italian Market Between 2023 and 2028: Results of the Oracle Project. [PDF]
Paolicelli D +23 more
europepmc +1 more source
This prospective randomized trial evaluated whether prehabilitation, exercise and nutrition intervention, enhance skeletal muscle mass during neoadjuvant chemotherapy in older patients with esophageal cancer undergoing esophagectomy. We also investigated whether exercise alone was sufficient to increase skeletal muscle mass, and whether nutritional ...
Keijiro Sugimura +7 more
wiley +1 more source
Estimating Costs of Market Exclusivity Extensions For 4 Top-Selling Prescription Drugs in the US.
Hong D +6 more
europepmc +1 more source
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 +9 more
wiley +1 more source
Prescribing controlled substances during a prescription drug epidemic [PDF]
Anne M. Pylkas, Gavin Bart
openalex +1 more source
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
Sociodemographic and spending characteristics of Medicare beneficiaries taking prescription drugs subject to price negotiations. [PDF]
Odouard IC +3 more
europepmc +1 more source
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 +4 more
wiley +1 more source

