Results 101 to 110 of about 1,312,878 (268)

PICALM::MLLT10 translocated leukemia

FEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen, Antonia C. Nakatsugawa, Natalie Barton, Henry Haines, Gary S. Stein, Janet L. Stein, Daniel S. Wechsler, Jessica L. Heath   +7 more
wiley   +1 more source

Speculative Computation with constraint processing for the generation of clinical scenarios [PDF]

, 2014
Clinical decision making often involves making decisions in situations of uncertainty. Clinical Decision Support Systems are tools devised to help in such moments, but the information may not be available during the decision process.
Neves, José, Novais, Paulo, Oliveira, Tiago José Martins, Satoh, Ken   +3 more
core  

Cell wall target fragment discovery using a low‐cost, minimal fragment library

FEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan, Mathew Stanley, Olawale Raimi, Andrew T. Ferenbach, Helge C Dorfmueller, Daan M. F. van Aalten   +5 more
wiley   +1 more source

Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode

, 2019
Clinical decision support systems (CDSS) will play an in-creasing role in improving the quality of medical care for critically ill patients. However, due to limitations in current informatics infrastructure, CDSS do not always have com-plete information ...
Adams, Jason Y., Anderson, Nicholas R., Chuah, Chen-Nee, Kuhn, Brooks T., Nguyen, Jimmy, Rehm, Gregory B.   +5 more
core  

Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

, 2019
Clinical decision support tools (DST) promise improved healthcare outcomes by offering data-driven insights. While effective in lab settings, almost all DSTs have failed in practice. Empirical research diagnosed poor contextual fit as the cause.
Steinfeld, Aaron, Yang, Qian, Zimmerman, John   +2 more
core   +1 more source

Mechanisms of IgE‐mediated food allergy and the role of allergen‐specific B cells

FEBS Letters, EarlyView.
Food allergy arises when allergen‐specific B cells preferentially produce immunoglobulin E (IgE) antibodies against harmless foods. This article explains the mechanisms driving IgE‐mediated reactions, highlights the central role of these B cells, and discusses how natural tolerance (NT) and oral immunotherapy (OIT) can reshape allergic immune responses.
Juan‐Felipe López, Özge Yilmaz Ardicli, Mübeccel Akdis   +2 more
wiley   +1 more source

Clinical Decision Support Systems [PDF]

, 2011
Dinevski, Dejan, Bele, Uroš, Šarenac, Tomislav, Rajkovič, Uroš, Šušteršič, Olga   +4 more
openaire   +4 more sources

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Clinical Decision Support Systems [PDF]

Neurosurgery, 2012
Edie E. Zusman, Yuriy Vinokur
openaire   +2 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source