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Intellegens and Optibrium announce success in the Open Source Malaria global initiative

Intellegens, an artificial intelligence start-up, and, Optibrium, leading providers of software and services for drug discovery, today announced joint success in the Open Source Malaria global initiative aimed at identifying the best predictive models for antimalarial compounds.

6 Dec 2019

Proteins circulating in the blood could help predict people's age

The carnival worker who tries to guess your age relies on aspects of your appearance, such as your posture and whether any wrinkles emanate from the corners of your eyes and lips. If the carny's guess is more than a few years off, you win a stuffed koala.

5 Dec 2019

Imaging technique and machine learning may provide accurate diagnosis of colorectal cancer

Colorectal cancer is the second most common type of cancer worldwide, with about 90% of cases occurring in people 50 or older.

5 Dec 2019

Patient diaries help identify periods of heightened propensity for epileptic seizures

A researcher at Rice University's Brown School of Engineering and an alumna of her lab have the first validation of their program to assess the risk of seizures in patients with epilepsy.

5 Dec 2019

Scientists identify how damaged DNA molecules are repaired inside the human genome

A team of scientists has identified how damaged DNA molecules are repaired inside the human genome, a discovery that offers new insights into how the body works to ensure its health and how it responds to diseases that stem from impaired DNA.

5 Dec 2019

Deep age predictors can help advance aging research

The deep age predictors can help advance aging research by establishing causal relationships in nonlinear systems.

5 Dec 2019

Movember and Alberta Cancer Foundation campaigns boost prostate cancer screening study

Nanostics Inc. announced today that from the launch of its clinical validation study for ClarityDX Prostate, recruitment of men increased significantly in November, pushing the number of men enrolled over 200.

3 Dec 2019

Social media could be harnessed to identify people with depression symptoms

Social media has been identified by a number of studies as being a significant factor in mental health problems, especially in young people. But imagine if the power of Twitter, Facebook and Instagram could also be harnessed to identify those with depression symptoms and signpost them to support services.

3 Dec 2019

Scientists are developing a new diagnostic tool for different types of breast cancers

Scientists are developing a new way to identify the unique chemical 'fingerprints' for different types of breast cancers.

2 Dec 2019

Blood proteins could help provide a comprehensive 'liquid health check' in future

Proteins in our blood could in future help provide a comprehensive 'liquid health check', assessing our health and predicting the likelihood that we will we will develop a range of diseases, according to research published today in Nature Medicine.

2 Dec 2019

“Liquid health check” could predict disease risk in the future

Measuring proteins in the blood could serve as a “liquid health check” that could predict people’s risk of developing diseases.

2 Dec 2019

AI helps predict high mortality risk in patients with traumatic brain injury

A new study from Helsinki University, published in the journal Scientific Reportson November 27, 2019, shows the application of an artificial intelligence (AI) algorithm to predict the risk of acute death following severe traumatic brain injury (TBI).

27 Nov 2019

NUS researchers make breakthrough by discovering how the brain encodes memories

NUS researchers have made a breakthrough in the field of cognitive computational neuroscience, by discovering a key aspect of how the brain encodes short-term memories.

27 Nov 2019

New model quickly generates brain scan templates used in medical-image analysis

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical image analysis, to guide disease diagnosis.

27 Nov 2019

New AI-based algorithm could help doctors treat patients with severe TBI

Traumatic brain injury is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units, but in spite of the proper and high-quality care, about one in three patients dies.

27 Nov 2019

New models to identify internal states of the brain in fruit flies

Imagine an attractive person walking toward you. Do you look up and smile? Turn away? Approach but avoid eye contact? The setup is the same, but the outcomes depend entirely on your "internal state," which includes your mood, your past experiences, and countless other variables that are invisible to someone watching the scene.

25 Nov 2019

Using AI to determine which lung cancer patients will benefit from immunotherapy

Scientists from the Case Western Reserve University digital imaging lab, already pioneering the use of Artificial Intelligence to predict whether chemotherapy will be successful, can now determine which lung-cancer patients will benefit from expensive immunotherapy.

23 Nov 2019

Highly accurate decision-making systems can be created with human-machine interaction

Machines can be trained to classify images and thus identify tumors in CT scans, mineral compositions in rocks, or pathologies in optical microscopy analyses. This artificial intelligence technique is known as machine learning and has gained new applications in recent years.

22 Nov 2019

New mathematical model can predict risk of kidney injury after common heart procedure

A Yale-led group of doctors has developed a new mathematical model that can predict the risk of acute kidney injury (AKI) in patients undergoing a common heart procedure.

22 Nov 2019

Researchers analyze online review content of specialized drug treatment facilities

Almost 10 percent of the nation's entire population live with substance use disorder, but many struggle to find the right help – a task which is made more difficult because there is no standardized rating system to ensure the quality of care within specialized drug treatment facilities.

22 Nov 2019

Machine Learning News and Research

Intellegens and Optibrium announce success in the Open Source Malaria global initiative

Proteins circulating in the blood could help predict people's age

Imaging technique and machine learning may provide accurate diagnosis of colorectal cancer

Patient diaries help identify periods of heightened propensity for epileptic seizures

Scientists identify how damaged DNA molecules are repaired inside the human genome

Deep age predictors can help advance aging research

Movember and Alberta Cancer Foundation campaigns boost prostate cancer screening study

Social media could be harnessed to identify people with depression symptoms

Scientists are developing a new diagnostic tool for different types of breast cancers

Blood proteins could help provide a comprehensive 'liquid health check' in future

“Liquid health check” could predict disease risk in the future

AI helps predict high mortality risk in patients with traumatic brain injury

NUS researchers make breakthrough by discovering how the brain encodes memories

New model quickly generates brain scan templates used in medical-image analysis

New AI-based algorithm could help doctors treat patients with severe TBI

New models to identify internal states of the brain in fruit flies

Using AI to determine which lung cancer patients will benefit from immunotherapy

Highly accurate decision-making systems can be created with human-machine interaction

New mathematical model can predict risk of kidney injury after common heart procedure

Researchers analyze online review content of specialized drug treatment facilities

AI In Healthcare eBook

Achieving and maintaining ISO/IEC 27001 and BS 10012 certifications

Expanding research and clinical options for children with cancer

Examining how pain could play a direct protective role in the gut

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