Results 11 to 20 of about 3,490,181 (385)
In the recent outbreak of novel coronavirus infection in Wuhan, China, significantly abnormal coagulation parameters in severe novel coronavirus pneumonia (NCP) cases were a concern.
N. Tang+3 more
semanticscholar +1 more source
Biomarkers in Cancer Detection, Diagnosis, and Prognosis
Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis, prognosis, treatment response, and personalized medicine.
Sreyashi Das+3 more
semanticscholar +1 more source
Objective To review and critically appraise published and preprint reports of models that aim to predict either (i) presence of existing COVID-19 infection, (ii) future complications in individuals already diagnosed with COVID-19, or (iii) models to ...
L. Wynants+15 more
semanticscholar +1 more source
Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments
Over the past decade, invasive techniques for diagnosing and monitoring cancers are slowly being replaced by non-invasive methods such as liquid biopsy.
S. N. Lone+11 more
semanticscholar +1 more source
Systematic review of COVID‐19 in children shows milder cases and a better prognosis than adults
The coronavirus disease 2019 (COVID‐19) pandemic has affected hundreds of thousands of people. Data on symptoms and prognosis in children are rare.
J. Ludvigsson
semanticscholar +1 more source
THE PROGNOSIS OF ALBUMINURIA. [PDF]
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Lyon, Thos Glover, Milton, H.
openaire +5 more sources
Diabetes is a risk factor for the progression and prognosis of COVID‐19
To figure out whether diabetes is a risk factor influencing the progression and prognosis of 2019 novel coronavirus disease (COVID‐19).
Wei-na Guo+13 more
semanticscholar +1 more source
Background Researchers and funders should consider the statistical power of planned Individual Participant Data (IPD) meta-analysis projects, as they are often time-consuming and costly.
Joie Ensor+4 more
doaj +1 more source
Deep learning in cancer diagnosis, prognosis and treatment selection
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. The increasing adoption of deep learning across healthcare
Khoa A. Tran+5 more
semanticscholar +1 more source
Ethical qualms about genetic prognosis [PDF]
The debate about direct-to-consumer genetic testing has centred on whether consumers are the best judges of their own clinical care. Inthis article, I also examine whether the science of personalized medicine is really as advanced as its proponents
Dickenson, Donna
core +1 more source