Posts in Machine Learning
Ending Animal Testing With Biosimulation Through AI

VeriSIM Life, a biotechnology startup with roots in San Francisco, hopes to accelerate drug development and boost healthcare by the advent of biosimulation, the computerised processing of biological processes which can represent systems of the body. With success, it is hoped to end current practises of animal testing, which are causes of concern and controversy in our growing ethical world.

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Artificial Intelligence Could Stop You From Going Blind?

The wonders of artificial intelligence are revealed again, as Eyenuk Inc develops a system that could be on par, let alone exceed, a clinical expert’s judgement in spotting diabetic retinopathy. With some incredible statistics from early testing, the system looks promising in addressing the current shortcomings in healthcare when it comes to under-staffing and misdiagnosis.

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How AI Knows You Have Depression From Your Voice

Depression is much more than simple bouts of sadness and hopelessness, it can be a harrowing abyss that leaves its victims with nothing but a persistent despondency throughout everyday life. Hence, it is important that depression is clinically diagnosed and treated to give patients the best possible chance of recovering, learn how artificial intelligence can help diagnose depression with speed and ease.

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What if a Sinus Rhythm ECG could show Atrial Fibrillation?

Atrial fibrillation is a condition affecting more than 1.2 million people in the country, and a leading cause of concern due to the difficulties in detecting it, given its ‘come-and-go’ nature. However, researchers have claimed to be able to detect atrial fibrillation from a 10-second ECG when the patient is in sinus rhythm (i.e when the heart is out of atrial fibrillation)… Quite a statement, but when it has an accuracy of 83%, all we can do is stare in wonder as our technologies set a new standard in an increasing demanding environment of Healthcare.

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Artificial Intelligence, From Theory to Practice.

In my articles, we consistently delve into what artificial intelligence can achieve for patients, but note the key term; ‘could’. Hence, today we look into what artificial intelligence has achieved for patients, ultimately the theory is written for its implementation. To be frank, to evaluate the effectiveness of a solution, it makes a great deal of sense to assess what the solution has achieved outright, than what it ‘could’ achieve. Now, let’s see how AI has played a part in medical practise.

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