Currently, much of medical practice is based on

2019-09-20

The theory has been that everyone should get the same care based on clinical trials. Personalized Medicine is the concept that managing a patient's health should be based on the individual patient's specific characteristics, including age, gender, height/weight, diet, environment, etc. Potential applications of personalized medicine Personalized medicine aims to identify individuals at risk for common diseases such as cancer, heart disease, and diabetes.

Evidence of behavioral, biological similarities between compulsive overeating and addiction

2019-10-18

According to researchers the chronic cyclic pattern of overeating followed by undereating, reduces the brain's ability to feel reward and may drive compulsive eating. This finding suggests that future research into treatment of compulsive eating behavior should focus on rebalancing the mesolimbic dopamine system the part of the brain responsible for feeling reward or pleasure.

Satellite images, drone photos and even Google Earth could help identify communities most at risk for getting one of the world's worst tropical diseases.

2019-10-29

This is a game-changer for developing-country public health agencies, because it will make it possible for them to efficiently find the villages that need their help the most,said lead author Chelsea Wood, an assistant professor in the UW School of Aquatic and Fishery Sciences.The World Health Organization recently recognized that efforts to slow transmission of the disease through drug distribution weren't working in some regions.

Researchers at Imperial have shown how the chaotic electrical signals underlying irregular heart rhythms lead to the failure of standard treatments

2019-12-12

By modelling how electrical signals on the inside and the outside of the heart move across the muscle, researchers at Imperial College London have suggested why corrective surgery is not currently always beneficial. The insight could improve surgery for some, by better targeting areas of the heart responsible, and could avoid unnecessary surgery for others, where intervention is unlikely to help. Atrial fibrillation (AF) is the most common heart rhythm abnormality and is projected to affect about two percent of the global population by 2050. It is the leading cause of stroke, but treatment options are limited. The current most common treatment is a surgery to burn areas of the heart from the inside thought to be responsible for the irregularity. However, the surgery, known as catheter ablation, is only effective in about 50 percent of patients. Clinicians in the US recently observed that AF is associated with different patterns of electrical pulses on the inside and the outside the heart, which were previously thought to be incompatible. Now, a team of physicists and cardiologists at Imperial have developed a model of AF that explains how these differing patterns arise and what causes them. The model can further be used to explain why some patients do not benefit from AF surgery.

Humanwide program uses data-driven, integrated team approach to predict, prevent disease

2019-12-28

A pilot program combining cutting-edge tools of biomedicine with a collaborative, team-based method, offers a new approach to personalized health care that captures the promise of Precision Health: to predict, prevent and treat disease based on the individual patient.

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Currently, much of medical practice is based on

Evidence of behavioral, biological similarities between compulsive overeating and addiction

Satellite images, drone photos and even Google Earth could help identify communities most at risk for getting one of the world's worst tropical diseases.

Researchers at Imperial have shown how the chaotic electrical signals underlying irregular heart rhythms lead to the failure of standard treatments

Humanwide program uses data-driven, integrated team approach to predict, prevent disease

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Personalizedmedicine 2020

Personalized Medicine and Pharmacogenomics

Conference of Personalizedmedicine-2020

You have choosen currency: USD ($)

Currently, much of medical practice is based on

Evidence of behavioral, biological similarities between compulsive overeating and addiction

Satellite images, drone photos and even Google Earth could help identify communities most at risk for getting one of the world's worst tropical diseases.

Researchers at Imperial have shown how the chaotic electrical signals underlying irregular heart rhythms lead to the failure of standard treatments

Humanwide program uses data-driven, integrated team approach to predict, prevent disease