amyotrophic lateral sclerosis
PulseAugur coverage of amyotrophic lateral sclerosis — every cluster mentioning amyotrophic lateral sclerosis across labs, papers, and developer communities, ranked by signal.
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Machine learning model predicts ALS progression and healthcare needs
Researchers have developed a novel temporal machine learning model designed to predict the progression of amyotrophic lateral sclerosis (ALS) and associated healthcare needs. This framework integrates longitudinal patie…
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New Spanish speech corpus targets ASR for neurological conditions
Researchers have introduced S-DiverSe, a new corpus of Spanish speech data specifically designed to improve automatic speech recognition (ASR) for individuals with neurological conditions. The dataset comprises 3.2 hour…
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JD.com Exec Battles ALS With 12-Hour Workdays for Cure
Cai Lei, a former vice-president at JD.com, is dedicating his remaining time to finding a cure for amyotrophic lateral sclerosis (ALS), a disease he has battled for seven years. Despite his advanced stage of the incurab…
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AI enables speechless ALS patient to work full-time
A UC Davis research team has developed a machine learning-powered method that enables a patient with Amyotrophic Lateral Sclerosis (ALS) to communicate effectively. This system translates brain activity into sentences w…
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ALS patient becomes first 'power user' of speech-enabling brain implant
Casey Harrell, a patient with amyotrophic lateral sclerosis (ALS), has become the first "power user" of a brain-computer interface (BCI) designed to restore speech. After nearly three years and over 3,800 hours of use, …
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New SLBT framework enhances classification with stratification factors
Researchers have introduced Simultaneous Latent Budget Trees (SLBT), a new probabilistic machine learning framework designed for classification tasks with a stratification factor. This method employs a model-based split…
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AI accelerates drug discovery for motor neurone disease
Artificial intelligence is being employed to accelerate the discovery of drugs for motor neurone disease. This application of AI aims to significantly reduce the time typically required for drug development in this area…
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Digital twins proposed as synthetic controls for clinical trials
Researchers have published a paper detailing the use of digital twins as synthetic control arms in single-arm clinical trials. These advanced machine learning models can generate personalized predictions of disease prog…