Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

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

Consortium launches ambitious project to transform the treatment of pain

In an effort to address the critical public health need for new, safer and more effective medicines to treat pain, a consortium based at the Laboratory of Systems Pharmacology at Harvard Medical School has launched an ambitious project titled STOP PAIN (Safe Therapeutic Options for Pain and Inflammation).

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 can increase people's wellbeing but potential dangers remain

A delegation of members of the European Economic and Social Committee visited three Finnish technological hubs to assess the potential benefits and dangers of artificial intelligence for our society.

29 Nov 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

Cleveland-based startup will use federal grant to develop AI tools for TB detection

Cleveland--Diascopic LLC, a Cleveland-based medical research company that develops diagnostic technology, will use a highly competitive federal grant to develop and apply new artificial intelligence and digital pathology tools for detecting tuberculosis.

26 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

Novel solution could produce accurate, automated placental diagnostic reports

Placentas can provide critical information about the health of the mother and baby, but only 20 percent of placentas are assessed by pathology exams after delivery in the U.S. The cost, time and expertise required to analyze them are prohibitive.

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

How the digital age impacts longevity and lifestyle?

Have you ever wondered how does the digital age affect our longevity? What effect new technologies and knowledge advances have on our life?

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

Study could help predict resistance to pancreatic cancer treatments

A study from the University of North Carolina Lineberger Comprehensive Cancer Center could help predict resistance to treatments for pancreatic cancer, one of the deadliest cancer types.

21 Nov 2019

Machine learning successfully replicates cell architecture

A new study reports the use of machine learning to help form complex cell architectures from pluripotent stem cells.

21 Nov 2019

Air pollution associated with memory decline and Alzheimer's-like brain atrophy

Women in their 70s and 80s who were exposed to higher levels of air pollution experienced greater declines in memory and more Alzheimer's-like brain atrophy than their counterparts who breathed cleaner air, according to USC researchers.

20 Nov 2019

'Fuzzy logic' alarm system may help NICU nurses predict catheter infusion failure

A "fuzzy logic" alarm system may help nurses in the neonatal intensive care unit (NICU) predict impending catheter infusion failure – and prevent complications in critically ill newborns, reports a study in the October issue of Advances in Neonatal Care, official journal of the National Association of Neonatal Nurses.

20 Nov 2019