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Deep learning in healthcare: a move towards algorithmic doctors

People are constantly trying to find more ‘human’ ways to interact with technology. Could the same be achieved for how we approach our health too?

15 Mar 2017

Deep learning transforms the drug discovery process in collaboration between Insilico Medicine and Life Extension

In March 2016 Insilico Medicine initiated a research collaboration with Life Extension to apply advanced bioinformatic methods and deep learning algorithms to screen for naturally occurring compounds that may slow down or even reverse the cellular and molecular mechanisms of aging. Today Life Extension (LE) launched a new line of nutraceuticals called GEROPROTECTTM, and the first product in the series called Ageless CellTM combines some of the natural compounds that were shortlisted by Insilico Medicine’s algorithms and are generally recognized as safe (GRAS).

7 Mar 2017

Pathology database to be made for development of deep learning tissue image analysis

Royal Philips and LabPON, the first clinical laboratory to transition to 100 percent histopathology digital diagnosis, today announced its plans to create a digital database of massive aggregated sets of annotated pathology images and big data utilizing Philips IntelliSite Pathology Solution.

From Philips Healthcare 6 Mar 2017

Scientists use Deep Learning to predict development of hematopoietic stem cells

Autonomous driving, automatic speech recognition, and the game Go: Deep Learning is generating more and more public awareness.

21 Feb 2017

Researchers develop new Artificial Intelligence technique for diagnosis of Alzheimer's disease

Alzheimer's disease, which currently affects more than 40 million people, is the most common neurodegenerative disease in elder people.

16 Feb 2017

Proscia collaborates with Samsung Medical Center to develop tools for metastasis prediction in lung cancer

Proscia Inc., a data solutions provider for digital pathology, and Samsung Medical Center, South Korea’s preeminent clinical and biomedical research institute, today announced a partnership focused on developing tools that enable predictive medicine in the fight against cancer.

16 Feb 2017

Scientists apply generative neural network to create new pharmaceutical medicines

Scientists from Mail.Ru Group, Insilico Medicine and MIPT have for the first time applied a generative neural network to create new pharmaceutical medicines with the desired characteristics.

9 Feb 2017

UCSF collaborates with Intel to deploy and validate deep learning analytics to improve healthcare

UC San Francisco's Center for Digital Health Innovation today announced a collaboration with Intel Corporation to deploy and validate a deep learning analytics platform designed to improve care by helping clinicians make better treatment decisions, predict patient outcomes, and respond more nimbly in acute situations.

19 Jan 2017

Generative AAE can be radically new way to discover drugs on demand

Scientists at the Pharmaceutical Artificial Intelligence group of Insilico Medicine, Inc, today announced the publication of a seminal paper demonstrating the application of generative adversarial autoencoders (AAEs) to generating new molecular fingerprints on demand.

22 Dec 2016

Fraunhofer researchers use new deep learning approach to facilitate tumor measurement

Physicians have long used visual judgment of medical images to determine the course of cancer treatment.

14 Nov 2016

Researchers apply deep learning to modernize cancer surveillance

Despite steady progress in detection and treatment in recent decades, cancer remains the second leading cause of death in the United States, cutting short the lives of approximately 500,000 people each year.

10 Nov 2016

Using deep learning to update the drug discovery paradigm: an interview with Professor Jackie Hunter

With the current drug discovery paradigm, it takes up to 15 years to translate an idea, such as hypothesizing a certain protein is important in a disease and testing this with targeting the protein with a drug, all the way through to proof of concept...

2 Nov 2016

Duke researchers devise computerized method for rapid, accurate diagnosis of malaria

Duke researchers have devised a computerized method to autonomously and quickly diagnose malaria with clinically relevant accuracy -- a crucial step to successfully treating the disease and halting its spread.

7 Oct 2016

Could artificial intelligence help to combat stress? An interview with Davide Morelli

Stress is actually a bit of a buzzword. The initial definition was “the reaction to changes”, which is why you get stressed also when good things happen, hence the distinction between good stress, eustress, and bad stress, distress.

23 Jun 2016

Researchers develop AI-powered systems to make pathologic diagnoses more accurate

Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed.

20 Jun 2016

Life Extension, Insilico Medicine team up to identify novel biomarkers of human aging

Life Extension (use different web link to highlight our technical attributes), a Florida-based organization established in the early 1980s is dedicated to extending healthy human longevity.

8 Jun 2016

Applying deep neural networks to predict pharmacologic properties of drugs and drug repurposing

Deep learning, frequently referred to as artificial intelligence, a branch of machine learning utilizing multiple layers of neurons to model high-level abstractions in data, has outperformed humans in tasks including image, text and voice recognition, autonomous driving and others, and is now being applied to drug discovery and biomarker development.

28 May 2016

Insilico Medicine collaborates with National Laboratory Astana to study age-related pathologies

Insilico Medicine announced an agreement with National Laboratory Astana, Nazarbayev University, one of the most rapidly growing universities in the world to collaboratively study aging and age-associated pathologies.

19 May 2016

How can deep learning impact healthcare?

“Genomic medicine really needs deep learning,” these were the words of keynote speaker Brendan Frey, CEO Deep Genomics at RE-WORK’s Deep Learning in Healthcare Summit 2016.

8 Apr 2016

Deep Learning in Healthcare Summit taking place in London

As the fifth global RE•WORK conference focused on artificial intelligence, the Deep Learning in Healthcare Summit will bring together industry, academia and startups to explore revolutionary deep learning tools and techniques that are shaping the future of medicine, healthcare and diagnostics.

30 Mar 2016