Results 111 to 120 of about 419,255 (384)
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units [PDF]
arXiv, 2017 The management of invasive mechanical ventilation, and the regulation of sedation and analgesia during ventilation, constitutes a major part of the care of patients admitted to intensive care units. Both prolonged dependence on mechanical ventilation and premature extubation are associated with increased risk of complications and higher hospital costs,
arxiv
The Prostate, Volume 85, Issue 7, Page 659-669, May 15, 2025.ABSTRACT Background The prognostic value of the prostate adenocarcinoma (PAC) with ductal feature in patients with advanced prostate cancer treated with abiraterone acetate has not been scrutinized. This study aims to explore the predictive value of PAC with ductal feature on the therapeutic efficacy of abiraterone therapy in metastatic prostate cancer
Yifu Shi +13 more
wiley +1 more source
CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 551-560, March 2025.ABSTRACT Enhanced Recovery After Surgery (ERAS) protocols for cesarean deliveries (CDs) utilize multimodal pain management strategies that often include gabapentin. While gabapentin is excreted in breast milk, its pharmacokinetics in immediately postpartum lactating women are not known. This observational pharmacokinetic study (NCT05099484) enrolled 21
Rebecca Silvola +9 more
wiley +1 more source
Effect on Opioid Use following the Implementation of Evidence-Based Pain Management [PDF]
, 2018 Pain is the most common reason people seek healthcare. Initiatives to prevent the undertreatment of pain have resulted in overreliance on opioids to treat pain. Despite significant increases in opioid use, pain is more prevalent than ever.
Ellens, Kathryn L.
core +1 more source
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning [PDF]
arXiv, 2020 One of the key factors of enabling machine learning models to comprehend and solve real-world tasks is to leverage multimodal data. Unfortunately, annotation of multimodal data is challenging and expensive. Recently, self-supervised multimodal methods that combine vision and language were proposed to learn multimodal representations without annotation.
arxiv
Multimodal analgesia in bariatric surgery
Regional Anesthesia and Acute Pain Management, 2016 This review is devoted to the treatment of postoperative pain in bariatric surgery. At present, the prevalence of patients with a high degree of obesity is an epidemic that leads steadily growing number of bariatric operations. Showing the risk factors in the traditional approach to the use of opioids in these patients, as well as the consequences of ...
M. I Neimark, Roman V. Kiselev
openaire +2 more sources
MOF‐Based Bioelectronic Supercapacitors
Small, Volume 21, Issue 15, April 16, 2025.This study examines the structural and functional characteristics of MOF‐based bioelectronic supercapacitors, highlighting their excellent conductivity and biocompatibility. Strategies for synthesis and functionalization enhance overall device efficiency. Due to their diverse application potential, these materials are recognized as promising candidates
Begüm Sarac +2 more
wiley +1 more source
Multimodal Combined Anesthesia during Traumatic Operations
Общая реаниматология, 2009 Any need for combining the effective antinociceptive defense of a patient during traumatic surgical interventions has give rise to multimodal combined anesthesia (MCA) comprising a combination of epidural analgesia with a small-dose local anesthetic ...
Ye. S. Gorobets +4 more
doaj +1 more source
Multimodal Systems: Taxonomy, Methods, and Challenges [PDF]
arXiv, 2020 Naturally, humans use multiple modalities to convey information. The modalities are processed both sequentially and in parallel for communication in the human brain, this changes when humans interact with computers. Empowering computers with the capability to process input multimodally is a major domain of investigation in Human-Computer Interaction ...
arxiv
Role of brain imaging in disorders of brain-gut interaction: a Rome Working Team Report. [PDF]
, 2019 Imaging of the living human brain is a powerful tool to probe the interactions between brain, gut and microbiome in health and in disorders of brain-gut interactions, in particular IBS.
Aziz, Qasim +8 more
core +2 more sources