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Total 41 results found since Jan 2013.
Teaching with Disruptive Technology: The Use of Augmented, Virtual, and Mixed Reality (HoloLens) for Disease Education
Adv Exp Med Biol. 2021;1317:147-162. doi: 10.1007/978-3-030-61125-5_8.ABSTRACTModern technologies are often utilised in schools or universities with a variety of educational goals in mind. Of particular interest is the enhanced interactivity and engagement offered by mixed reality devices such as the HoloLens, as well as the ability to explore anatomical models of disease using augmented and virtual realities. As the students are required to learn an ever-increasing number of diseases within a university health science or medical degree, it is crucial to consider which technologies provide value to educators and students. ...
Source: Advances in Experimental Medicine and Biology - May 4, 2021 Category: Research Authors: Zane Stromberga Charlotte Phelps Jessica Smith Christian Moro Source Type: research
DEG/ENaC Ion Channels in the Function of the Nervous System: From Worm to Man
Adv Exp Med Biol. 2021;1349:165-192. doi: 10.1007/978-981-16-4254-8_9.ABSTRACTDEG/ENaC channels are voltage-independent Na+/Ca2+ channels that are conserved across species and are expressed in many different cell types and tissues, where they contribute to a wide array of physiological functions from transepithelial Na+ transport, to sensory perception, and learning and memory. In this chapter, we focus on the members of this family that are expressed in the nervous system, grouping them based on their function. Structurally, DEG/ENaC channels are trimers formed by either identical or homologous subunits, each one protrudi...
Source: Advances in Experimental Medicine and Biology - February 9, 2022 Category: Research Authors: Laura Bianchi Source Type: research
Rationale and design of the Brazilian Diabetes Study: a prospective cohort of type 2 diabetes
CONCLUSION: The BDS will be the first large population-based cohort dedicated to the identification of clinical phenotypes of T2D at higher risk of cardiovascular events. Data derived from this study will provide valuable information on risk estimation and prevention of cardiovascular and other diabetes-related events.PMID:35174749 | DOI:10.1080/03007995.2022.2043658
Source: Current Medical Research and Opinion - February 17, 2022 Category: Research Authors: Joaquim Barreto Vaneza Wolf Isabella Bonilha Beatriz Luchiari Marcus Lima Alessandra Oliveira Sofia Vitte Gabriela Machado Jessica Cunha Cynthia Borges Daniel Munhoz Vicente Fernandes Sheila Tatsumi Kimura-Medorima Ikaro Breder Marta Duran Fernandez Thiag Source Type: research
Diagnosis of Coronary Artery Disease based on Machine Learning algorithms Support Vector Machine, Artificial Neural Network, and Random Forest
CONCLUSION: In this study, it was shown that machine learning algorithms can be used with high accuracy to detect CAD. Thus, it allows physicians to perform timely preventive treatment in patients with CAD.PMID:37057235 | PMC:PMC10086656 | DOI:10.4103/abr.abr_383_21
Source: Biomed Res - April 14, 2023 Category: Research Authors: Saeed Saeedbakhsh Mohammad Sattari Maryam Mohammadi Jamshid Najafian Farzaneh Mohammadi Source Type: research
Development and validation of explainable machine-learning models for carotid atherosclerosis early screening
Carotid atherosclerosis (CAS), an important factor in the development of stroke, is a major public health concern. The aim of this study was to establish and validate machine learning (ML) models for early scr...
Source: Journal of Translational Medicine - May 29, 2023 Category: Research Authors: Ke Yun, Tao He, Shi Zhen, Meihui Quan, Xiaotao Yang, Dongliang Man, Shuang Zhang, Wei Wang and Xiaoxu Han Tags: Research Source Type: research
Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction
Machine learning tools such as random forests provide important opportunities for modeling large, complex modern data generated in medicine. Unfortunately, when it comes to understanding why machine learning mode...
Source: BMC Medical Research Methodology - June 19, 2023 Category: Research Authors: Meredith L. Wallace, Lucas Mentch, Bradley J. Wheeler, Amanda L. Tapia, Marc Richards, Siyu Zhou, Lixia Yi, Susan Redline and Daniel J. Buysse Tags: Research Source Type: research
