machine learning

NeuroSense Therapeutics is collaborating with PhaseV for insights into how to better design the protocol for the planned Phase 3 trial that will test PrimeC for amyotrophic lateral sclerosis (ALS). A specialist in machine learning technology for clinical trials, PhaseV used data from the ongoing Phase 2b…

Deep machine-learning models using neural networks — computer algorithms inspired in the biological networks of the human brain —may help to predict the course of amyotrophic lateral sclerosis (ALS), a new study reports. The models also consistently showed that a longer delay between disease onset and diagnosis is a…

Verge Genomics and Eli Lilly have entered into a three-year collaboration to find and develop therapies for amyotrophic lateral sclerosis (ALS). Verge will focus on discovering and validating potential new therapeutic targets, while Lilly will select up to four candidates to advance through clinical testing with a goal of…

Roche Canada’s Artificial Intelligence Centre of Excellence (AI CoE), in collaboration with Answer ALS and EverythingALS, opened a challenge that asks the global artificial intelligence (AI) community to model solutions for key questions in amyotrophic lateral sclerosis (ALS). Called End ALS Challenge, the digital competition also…

Bristol Myers Squibb has entered a five-year research collaboration with the machine learning startup insitro to discover and develop new therapies for amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Machine learning is a form of artificial intelligence that uses algorithms to analyze large amounts of data, learn…

Raremark, an online rare disease patient community, has launched a digital platform called Xperiome, aimed at streamlining the search for new medicines for rare disorders and incorporating more patient input into research. The goal is to help the pharmaceutical industry deliver innovative new therapies faster and smarter, the…

A machine-learning model based on insurance information from amyotrophic lateral sclerosis (ALS) patients may be able to speed diagnosis of the disease in others, research suggests. The findings were presented at the 30th International Symposium on ALS/MND, in the presentation “Machine learning model using insurance…

Researchers at Israel’s Ben-Gurion University (BGU) have developed an artificial intelligence (AI) platform that can help monitor and predict the course of amyotrophic lateral sclerosis (ALS). The tool was designed by Boaz Lerne, PhD, associate professor at BGU, and his colleagues, in order to help identify biomarkers associated with neurodegenerative…

Researchers developed a computational model able to recognize amyotrophic lateral sclerosis (ALS) based on patients’ speech patterns, suggesting it may one day be a non-invasive and low-cost way of evaluating disease severity and likely progression, possibly in a person’s home. The study, by scientists at IBM Thomas…

A new model for predicting ALS patients’ survival looks promising, University of Michigan researchers report. In fact, it want a competition for models that can forecast survival. A combination of patients’ ability to walk, breathe and eat, plus their scores on a physical functioning scale and a lung function measure…