Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

Beijing Tide Pharmaceutical and Insilico Medicine announce cancer drug discovery collaboration

Beijing Tide Pharmaceutical Co., Ltd., a subsidiary of Sino Biopharmaceutical Limited, and Insilico Medicine, an artificial intelligence company developing end-to-end drug discovery pipelines, announced today that they are entering a collaboration, applying artificial intelligence technology to drug discovery, to jointly accelerate the process for multiple types of cancer treatment.

16 Mar 2020

Researchers develop new kind of CRISPR screen technology to target RNA

CRISPR-based genetic screens have helped scientists identify genes that are key players in sickle-cell anemia, cancer immunotherapy, lung cancer metastasis, and many other diseases.

16 Mar 2020

UC Riverside biochemist and Atomwise form new joint venture

Over the past few years, biochemist John Jefferson Perry at the University of California, Riverside, has collaborated on a number of projects with Atomwise Inc., a company that uses artificial intelligence, or AI, for drug discovery.

13 Mar 2020

Swedish pupils and teachers to participate in ‘Get wise on food waste’ project

Can more information result in less food being wasted? Researchers will be investigating this together with pupils and teachers across the whole of Sweden in the ‘Get wise on food waste’ project. To assist them, they will be using an artificial intelligence app and the world’s largest food sustainability database.

13 Mar 2020

Language used on Facebook changes before emergency department visit

A new study published in Scientific Reports reveals that the language people use on Facebook subtly changes before they make a visit to the emergency department.

12 Mar 2020

Robots and AI deployed to fight against coronavirus

Robots and artificial intelligence are being deployed across the globe in the fight against the coronavirus pandemic.

12 Mar 2020

Researchers encourage a synergistic relationship between AI and family medicine

Attention all family medicine physicians: Identify a computer scientist with expertise in artificial intelligence (AI). Pick up the phone. Make a connection.

12 Mar 2020

Skin sensors for antenatal surveillance in developing countries

A new study published in March 2020 in the journal Nature Medicine reports the use of a wireless system of skin-mounted sensors to monitor the health of newborn babies in an inexpensive and versatile platform that can be adapted to the vast majority of healthcare settings with ease.

11 Mar 2020

Blood test for microbial DNA could warn of cancer

A new study published in the journal Nature on March 11, 2020, could transform the currently held views on cancer causation and diagnosis. The researchers have come up with a new technique to detect the presence and type of cancer by looking at microbial DNA circulating in the blood of the person being screened.

11 Mar 2020

Microbial DNA in the blood could help identify who has cancer

When Gregory Poore was a freshman in college, his otherwise healthy grandmother was shocked to learn that she had late-stage pancreatic cancer. The condition was diagnosed in late December. She died in January.

11 Mar 2020

AI taps human knowledge for faster and more accurate cancer diagnosis

A new system combining artificial intelligence with human knowledge promises faster and more accurate cancer diagnosis.

11 Mar 2020

Researchers secure DARPA grant to develop smart device for healing large muscle wounds

Researchers at Carnegie Mellon University, Northwestern University, Rice University, University of Vermont, University of Wisconsin and Walter Reed National Military Medical Center also are part of this four-year initiative.

11 Mar 2020

Computer program analyzes blood plasma to identify weight gain biomarkers

Researchers at the University of Campinas in São Paulo State, Brazil, have developed a computer program that analyzes molecules in blood plasma to search for biomarkers that identify individuals who are at risk of becoming overweight and developing obesity-related diseases.

10 Mar 2020

New Europe-wide report explores the impact of AI on healthcare practitioners

A new report from EIT Health and McKinsey & Company has exposed an urgent need to attract, educate and train a generation of data literate healthcare professionals, whilst up-skilling the current workforce if we are to fully realize the transformative potential of Artificial Intelligence (AI).

10 Mar 2020

Urine test could help men avoid unnecessary prostate cancer biopsies

Unnecessary prostate cancer biopsies could be reduced by 60 percent thanks to new research from the University of East Anglia.

9 Mar 2020

Machine learning has potential to enhance the diagnosis of mastitis infections in cows

The new study, published today in Scientific Reports, has found that machine learning has the potential to enhance and improve a veterinarian's ability to accurately diagnose herd mastitis origin and reduce mastitis levels on dairy farms.

9 Mar 2020

New AI system can evaluate endoscopic findings of ulcerative colitis with accuracy

Assessments of patients with ulcerative colitis, which is a type of inflammatory bowel disease, are usually conducted via endoscopy and histology. But now, researchers from Japan have developed a system that may be more accurate than existing methods and may reduce the need for these patients to undergo invasive medical procedures.

6 Mar 2020

Two retinal imaging modalities cannot be interchanged when evaluating vision-threatening condition

Diabetic retinopathy can be diagnosed and graded with the use of a newer scanning technology called ultra-wide field imaging, a system that generates high-quality pictures showing most of the retina.

5 Mar 2020

AI helps reveal apparent cellular distinctions between black and white cancer patients

Scientists at Case Western Reserve University are using Artificial Intelligence (AI) to reveal apparent cellular distinctions between black and white cancer patients, while also exploring potential racial bias in the rapidly developing field of AI.

5 Mar 2020

Deep learning algorithm to enhance mammography screening interpretation

The study is based on the results obtained in the Digital Mammography DREAM Challenge, an international competition led by IBM where researchers from the Instituto de Física Corpuscular have participated along with scientists from the UPV's Institute of Telecommunications and Multimedia Applications.

5 Mar 2020