Disease Risk Prediction

Utilizing machine learning, a group of researchers, led by academics from Stanford University in California, analyzed protein levels in human blood.

Scientists have also discovered a way to use artificial intelligence to predict the risk of a heart attack or stroke using only a single x-ray.

Near menopause, the menstrual cycle length often becomes longer. The timing of these changes could provide clues about a person's risk of developing heart disease.

An Artificial Intelligence-powered tool to more accurately predict heart disease risk among Indians and recommend modifiable changes to prevent heart attacks has been launched by Apollo Hospitals in partnership with Microsoft.

World Diabetes Day 2020: Important risk factors which predict future risk of heart disease in a diabetic patient: age, gender, family history of heart disease, bad eating habits, physical inactivity, obesity, hypertension, high cholesterol, smoking/tobacco, alcohol, mental stress etc.

Nothing is quite predictable in the trans-Himalayan region of Spiti, a land seemingly beyond both the clouds and the imagination. On the trail of the Blue Sheep, the prized food for the elusive and rare Snow Leopard, scientists have been working to understand a rather understudied topic in the high Himalayas: disease transmission between livestock ...

Older adults who sleep poorly or have less slow-wave sleep, deep sleep needed to consolidate memories and wake up feeling refreshed, have higher levels of tau -- a toxic brain protein.

The wrinkles on your forehead may not be just an inevitable consequence of ageing, but could also signal an early death due to cardiovascular disease (CVD), researchers have warned.

Examing stress and inflammation levels in the heart can be an important predictor for Parkinson's disease. Parkinson's disease is a neurological movement disorder which nerve cells die and the dopamine levels in the brain start decreasing. Watch out for these signs of Parkinson's disease.

A study published in the European Heart Journal, has indicated that a poor gut microbiome may be a potential risk factor for cardiovascular diseases, more effective in predicting heart ailments than cholesterol, high blood pressure, smoking, etc.

The findings showed that a substance indicating oxidative damage increases in urine as people get older.

The new approach could build on doctors' current abilities by providing a tool that people could one day use to quickly and easily screen themselves for health risks that can contribute to heart disease, the leading cause of death worldwide.

A new test that combines the effects of over two dozen gene mutations - which individually lead to only a small increased risk of Alzheimer's disease - can better predict who will suffer from dementia or cognitive decline, scientists say.

A study has been found that people with A, B, and AB blood groups may be at greater risk of cardiovascular diseases, particularly heart attacks.

Brain scans of babies who have autistic siblings may help in predicting if the child is susceptible to the condition.

Utilizing machine learning, a group of researchers, led by academics from Stanford University in California, analyzed protein levels in human blood.

Scientists have also discovered a way to use artificial intelligence to predict the risk of a heart attack or stroke using only a single x-ray.

Near menopause, the menstrual cycle length often becomes longer. The timing of these changes could provide clues about a person's risk of developing heart disease.

An Artificial Intelligence-powered tool to more accurately predict heart disease risk among Indians and recommend modifiable changes to prevent heart attacks has been launched by Apollo Hospitals in partnership with Microsoft.

World Diabetes Day 2020: Important risk factors which predict future risk of heart disease in a diabetic patient: age, gender, family history of heart disease, bad eating habits, physical inactivity, obesity, hypertension, high cholesterol, smoking/tobacco, alcohol, mental stress etc.

Nothing is quite predictable in the trans-Himalayan region of Spiti, a land seemingly beyond both the clouds and the imagination. On the trail of the Blue Sheep, the prized food for the elusive and rare Snow Leopard, scientists have been working to understand a rather understudied topic in the high Himalayas: disease transmission between livestock ...

Older adults who sleep poorly or have less slow-wave sleep, deep sleep needed to consolidate memories and wake up feeling refreshed, have higher levels of tau -- a toxic brain protein.

The wrinkles on your forehead may not be just an inevitable consequence of ageing, but could also signal an early death due to cardiovascular disease (CVD), researchers have warned.

Examing stress and inflammation levels in the heart can be an important predictor for Parkinson's disease. Parkinson's disease is a neurological movement disorder which nerve cells die and the dopamine levels in the brain start decreasing. Watch out for these signs of Parkinson's disease.

A study published in the European Heart Journal, has indicated that a poor gut microbiome may be a potential risk factor for cardiovascular diseases, more effective in predicting heart ailments than cholesterol, high blood pressure, smoking, etc.

The findings showed that a substance indicating oxidative damage increases in urine as people get older.

The new approach could build on doctors' current abilities by providing a tool that people could one day use to quickly and easily screen themselves for health risks that can contribute to heart disease, the leading cause of death worldwide.

A new test that combines the effects of over two dozen gene mutations - which individually lead to only a small increased risk of Alzheimer's disease - can better predict who will suffer from dementia or cognitive decline, scientists say.

A study has been found that people with A, B, and AB blood groups may be at greater risk of cardiovascular diseases, particularly heart attacks.

Brain scans of babies who have autistic siblings may help in predicting if the child is susceptible to the condition.