Results 21 to 30 of about 2,487,520 (363)
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
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
Patch-Type Vibration Visualization (PVV) Sensor System Based on Triboelectric Effect
Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by ...
Sun-Jin Kim+5 more
doaj +1 more source
Mechanic-Electric-Thermal Directly Coupling Simulation Method of Lamb Wave under Temperature Effect
Lamb Wave (LW)-based structural health monitoring method is promising, but its main obstacle is damage assessment in varying environments. LW simulation based on piezoelectric transducers (referred to as PZTs) is an efficient and low-cost method.
Xiaofei Yang+4 more
doaj +1 more source
A novel defined pyroptosis-related gene signature for predicting the prognosis of ovarian cancer
Ovarian cancer (OC) is a highly malignant gynaecological tumour that has a very poor prognosis. Pyroptosis has been demonstrated in recent years to be an inflammatory form of programmed cell death.
Y. Ye, Qinjin Dai, H. Qi
semanticscholar +1 more source
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
Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their ...
Gary S. Collins+3 more
semanticscholar +2 more sources
Diabetic nephropathy (DN) is a major healthcare challenge. It occurs in up to 50% of those living with diabetes, is a major cause of end‐stage kidney disease (ESKD) that requires treatment with dialysis or renal transplantation, and is associated with ...
N. Selby, M. Taal
semanticscholar +1 more source