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Machine learning for medical image scanning

Commonly used diagnostic imaging methods are: Ultrasonography X-ray Computed tomography (CT) Magnetic resonance imaging (MRI) Scintigraphy or radionuclide scan (injecting a radioactive tracer into a ...
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4 votes

What is the quantitative relationship between free T4 and TSH?

The relation between TSH and free T4 is bidirectional and complex [1–4]. TSH stimulates the secretion of T4 from the thyroid gland. Immediately after being released into the bloodstream the vast ...
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4 votes
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Is Kiwi low or high fructose?

According to NutritionData (data from US Department of Agriculture - USDA.gov), 100 g of kiwi fruit contains 4.4 g fructose and 4.1 g glucose. The wch.sa.gov.au site in the question lists kiwi as high ...
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4 votes

Why are the majority of patients with Edwards Syndrome females?

According to this article, the ratio of affected females/males differs when you look at liveborn or prenatal infants, which indicates a prenatal selection against males (i.e. more males are ...
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3 votes
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What data supports the safety of COVID-19 mRNA vaccines for women of childbearing age?

Clinical Trials Initial safety data comes from the pre-approval clinical trials, as summarized by Male (2021): Note that pregnant women were not enrolled in the trials, and participants were asked to ...
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3 votes

How can I quickly know whether a medical treatment is supported by evidence?

A quick way to know if a certain treatment method is supported by scientific evidence without asking a physician is to check some free and easy-to-read evidence-based medical articles on sites like: ...
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3 votes

Is it possible to meassure anxiety/stress via data collected from smart watches for a whole region?

Tiwari et al, 2019 found poor sensitivity and specificity for detecting stress using multiple features from a fitness watch: sensitivity 0.53, specificity 0.56, and similarly poor for anxiety: ...
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3 votes
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What factors besides age and genetics influence the prevalence of Alzheimer's?

How about this list from the Alzheimer Society of Canada? It differentiates between modifiable and non-modifiable risk factors and goes on to explain how and why which risk factors are risk factors. ...
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3 votes

Database with diseases and symptoms?

There's an App call Ada. It's only available for iOS. It's an IA based bot that ask you about your symptoms and gives you a diagnostic. It was pretty accurate with some regular illnesses. It's much ...
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2 votes

Database with diseases and symptoms?

There's nothing that does what you asked as a medical doctor would do, because a software is always a software. Anyway a good reference (there should be also a function similar to the one you asked ...
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2 votes

Did the NIH study find Moderna - Moderna gave more antibodies than Moderna-Pfizer?

TLDR: in the actual paper/preprint, neither for the raw antibody values nor for the ratio relative to day 1 is there a statistically significant difference between Moderna-after-Moderna and Pfzier-...
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2 votes

COVID-19 data sets with patient-level demographic information (e.g. age)

The UK Biobank (cohort study of 500,000 participants) incorporates SARS-CoV-2 test result data. It contains age, as well as entire medical history information for each participant. Ref: Dynamic ...
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  • 143
1 vote

COVID-19 data sets with patient-level demographic information (e.g. age)

This question in opendata.SE has answers that might help. There are three answers at the time of writing Anthem XPRIZE Github large dataset South Korean data
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1 vote

Machine learning for medical image scanning

I would like to make a recommendation, as a researcher also working in medical imaging. You state that you are interested in predicting lesion diameter, patient gender, and patient age from the scans. ...
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1 vote

Database with diseases and symptoms?

There are quite some symptom checkers available - this one seems to perform well in benchmarks and allows free text input: https://www.symptoma.com/
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