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AI Therapeutics reports considerable progress on LAM-001 and LAM-004 clinical trials

AI Therapeutics is a clinical-stage biopharmaceutical company that has created an artificial intelligence-driven drug development platform for matching drugs to new indications.

7 Jan 2020

A new deep learning approach to predict disease-associated mutations

During the past years, artificial intelligence (AI) -- the capability of a machine to mimic human behavior -- has become a key player in high-techs like drug development projects.

28 Dec 2019

New report highlights AI's potential to revolutionize health care

The role of artificial intelligence, or machine learning, will be pivotal as the industry wrestles with a gargantuan amount of data that could improve -- or muddle -- health and cost priorities, according to a National Academy of Medicine Special Publication on the use of AI in health care.

20 Dec 2019

Study reveals how circadian rhythm changes the way mammals can see

How mammals perceive light changes between night and day. Researchers at Aalto University and the University of Helsinki discovered that mice were better at finding a dim light in pitch-darkness in experiments done at night time compared to ones done during the day time.

19 Dec 2019

New paper-based test for early Lyme diagnosis

A new paper in the journal ACS Nano reports the development of an incredibly cheap and highly sensitive test to diagnose Lyme disease in its earliest stages, when it can be most easily, effectively and inexpensively treated.

18 Dec 2019

New kind of AI improves breast cancer risk prediction

Researchers have established a new artificial intelligence (AI) that can identify women with increased risk of breast cancer.

17 Dec 2019

A deep neural network model can predict healthcare visits by elderly people

If healthcare providers could accurately predict how their services would be used, they could save large sums of money by not having to allocate funds unnecessarily.

13 Dec 2019

New software tool uses AI to recognize cancer cells from digital pathology images

UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes.

9 Dec 2019

Groundbreaking technique could help predict a protein's interactions with other proteins

Proteins are the building blocks of life and play a key role in all biological processes. Understanding how they interact with their environment is therefore vital to developing effective therapeutics and the foundation for designing artificial cells.

9 Dec 2019

The Olympus scanR High-Content Screening Station Rapidly Acquires Quantitative Data from Cell-Based Assays

Olympus announces the US launch of the scanR high-content screening (HCS) station, a cell imaging solution that utilizes artificial intelligence (AI) to enable next-generation biological research.

From Evident Corporation - Life Sciences 6 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

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

Deep learning shows potential to improve chest X-ray interpretation

A sophisticated type of artificial intelligence can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published in the journal Radiology.

3 Dec 2019

Applying a Proteomics-based Approach to the Clinic

Matthias Mann explains why applying proteomics-based technologies such as timsTOF could accelerate the diagnosis and prediction of human disease.

From Bruker Life Sciences Mass Spectrometry 20 Nov 2019

Neural architecture search automates the development of deep learning-based models for cancer research

Argonne researchers have created a neural architecture search that automates the development of deep-learning-based predictive models for cancer data.

18 Nov 2019

AI-powered CAD software can reduce bias in radiology reports, study finds

A study by the Centre for Advanced Research in Imaging, Neuroscience and Genomics found that AI powered CAD software can reduce hedging and defensive reporting statements in radiologist reports, resulting in clearer more actionable diagnosis descriptions.

15 Nov 2019

New PNNL approach improves accuracy of patient diagnosis dramatically

Artificial intelligence will never replace a doctor. However, researchers at the Department of Energy's Pacific Northwest National Laboratory have taken a big step toward the day when AI can help physicians predict medical events.

12 Nov 2019

New AI-driven approach for single blood cell classification

For the first time, researchers from Helmholtz Zentrum München and the University Hospital of LMU Munich show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.

12 Nov 2019

Mirada Medical announces series of installations of world’s first AI software for cancer treatment

Mirada Medical, a global leader in Artificial Intelligence software for the treatment of cancer, has announced today further global installations of DLCExpert, the world’s first commercially available AI-powered auto contouring software for cancer treatment planning and the only system with over one year of clinically proven use.

11 Nov 2019

AI could help revolutionize pathology laboratories

An upgrade in The University of Queensland’s artificial intelligence capabilities could help to revolutionise pathology laboratories across Australia.

8 Nov 2019