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| http://dx.doi.org/10.36660/abc.20220036 | DOI Listing |
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Use of Hearing Aids Embedded with Inertial Sensors and Artificial Intelligence to Identify Patients at Risk for Falling.
Otol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery.
Objective: To compare fall risk scores of hearing aids embedded with inertial measurement units (IMU-HAs) and powered by artificial intelligence (AI) algorithms with scores by trained observers.
Study Design: Prospective, double-blinded, observational study of fall risk scores between trained observers and those of IMU-HAs.
Setting: Tertiary referral center.
A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data.
PLoS Comput Biol
January 2025
Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.
Transfer learning aims to integrate useful information from multi-source datasets to improve the learning performance of target data. This can be effectively applied in genomics when we learn the gene associations in a target tissue, and data from other tissues can be integrated. However, heavy-tail distribution and outliers are common in genomics data, which poses challenges to the effectiveness of current transfer learning approaches.
View Article and Find Full Text PDFThe Association Between Maternal Preeclampsia and Risk for Offspring Infectious Diseases-A Sibling Matched Analysis.
Am J Reprod Immunol
January 2025
Department of Public Health, Faculty of Health Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Background: Preeclampsia is a severe, multisystem complication that affects 2%-5% of pregnancies, and is a leading cause of fetal and maternal morbidity and mortality worldwide. Preeclampsia may have devastating results on maternal health and may affect offspring's immediate and long-term health. Previous studies have examined the impact of maternal preeclampsia on the long-term health outcomes of offspring, many of these studies have been limited by confounding factors that could bias the results.
View Article and Find Full Text PDFEfficacy of robot-assisted double-flap techniques with refinements to minimize anastomosis-related complications after proximal gastrectomy.
Surg Today
January 2025
Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa, Nishinomiya, Hyogo, 663-8501, Japan.
Purpose: The double-flap technique (DFT) is an anti-reflux reconstruction procedure performed after proximal gastrectomy (PG), but its complexity and high incidence of anastomotic stenosis are problematic. We conducted this study to demonstrate the efficacy of robot-assisted DFT, with refinements, to address these issues.
Methods: Surgical outcomes were compared between the following procedures modified over time at our institution: conventional open DFT (group O, n = 16); early robotic DFT (group RE, n = 19), which follows the conventional open PG approach; and late robotic DFT (group RL, n = 21), which incorporates refinements to the early robotic DFT technique by exploiting more of the robotic capabilities available.
Strategies to enhance management of HER2-positive breast cancer in the elderly: an expert consensus perspective.
Clin Transl Oncol
January 2025
Medical Oncology Department, Hospital del Mar, Parc de Salut Mar, Spanish Group for Breast Cancer Research (GEICAM), Barcelona, Spain.
Therapeutic decision-making for older patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer highlights the importance of a comprehensive geriatric assessment (CGA). This assessment considers the functional status, comorbidities, and relevant conditions of the patient, and allows for an estimation of life expectancy, but it does not facilitate individualized treatment plans. There are also other challenges to consider related to the cardiac toxicity of the treatments and the under-representation of older patients in clinical trials.
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