Results 71 to 80 of about 1,377,003 (377)

Diagnostic Accuracy of Optic Nerve Ultrasonography and Ophthalmoscopy in Prediction of Elevated Intracranial Pressure

open access: yesArchives of Academic Emergency Medicine, 2018
Introduction: Elevated intracranial pressure (ICP) is a major and potentially lethal disorder in patients admitted to the emergency department (ED). Several methods are being used to investigate for elevated ICP.
Keihan Golshani   +3 more
doaj   +1 more source

Tumoral chromoblastomycosis: a rare manifestation with typical complementary exams [PDF]

open access: yesAnais Brasileiros de Dermatologia, 2015
: Chromoblastomycosis is a chronic subcutaneous fungal infection caused by traumatic implantation of dematiaceous fungi in the skin. The clinical presentation is usually a verrucous plaque lesion and the diagnosis is confirmed by the visualization of ...
John Verrinder Veasey   +4 more
doaj   +2 more sources

Emoqol-100: Development and validation of a single question for low mood in primary care. A retrospective audit.

open access: yesBJGP Open, 2023
Background: Patients with depression need to be diagnosed and managed effectively in primary care. However, current inventories for case-finding low mood are time-consuming when considering the limited time available during appointments. Aim: To validate
Nina Edel Dahle   +4 more
doaj   +1 more source

Biostatistics Series Module 7: The Statistics of Diagnostic Tests

open access: yesIndian Journal of Dermatology, 2017
Crucial therapeutic decisions are based on diagnostic tests. Therefore, it is important to evaluate such tests before adopting them for routine use. Although things such as blood tests, cultures, biopsies, and radiological imaging are obvious diagnostic ...
A. Hazra, N. Gogtay
semanticscholar   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Ensemble learning model for diagnosing COVID-19 from routine blood tests

open access: yesInformatics in Medicine Unlocked, 2020
Background and objectives: The pandemic of novel coronavirus disease 2019 (COVID-19) has severely impacted human society with a massive death toll worldwide.
Maryam AlJame   +3 more
doaj   +1 more source

Community chloroquine distribution for malaria control in Bushenyi district of Uganda. [PDF]

open access: yes, 2003
OBJECTIVE: To document successful community chloroquine distribution for malaria control in Bushenyi district, southwestern Uganda. DESIGN: A cross sectional survey immediately after a four-month community chloroquine distribution exercise.
Nuwaha, F, Okware, J, Timbyetaho, HN
core   +1 more source

Redox‐dependent binding and conformational equilibria govern the fluorescence decay of NAD(P)H in living cells

open access: yesFEBS Letters, EarlyView.
In this work, we reveal how different enzyme binding configurations influence the fluorescence decay of NAD(P)H in live cells using time‐resolved anisotropy imaging and fluorescence lifetime imaging microscopy (FLIM). Mathematical modelling shows that the redox states of the NAD and NADP pools govern these configurations, shaping their fluorescence ...
Thomas S. Blacker   +8 more
wiley   +1 more source

A working model for cytoplasmic assembly of H/ACA snoRNPs

open access: yesFEBS Letters, EarlyView.
Dyskerin is the component of nuclear H/ACA ribonucleoproteins (RNPs) endowed with pseudouridine synthase catalytic activity. Two isoforms of human dyskerin have been characterized: the abundant Iso1, mainly nuclear, and the shorter Iso3, mainly cytoplasmic but occasionally imported into nuclei.
Alberto Angrisani, Maria Furia
wiley   +1 more source

Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning. [PDF]

open access: yes, 2019
BackgroundAdvanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.Hypothesis/objectivesTo derive a model to predict the risk of cats developing ...
Bradley, Richard   +8 more
core   +2 more sources

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