Sheffield Hallam University’s Advanced Wellbeing Research Centre (AWRC) has unveiled the companies set to join the 2024 cohort for its Advanced Wellbeing Accelerator programme. The prestigious six-month accelerator programme, which will support 10 start-ups and…
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Tech-enabled heart disease detection company CardioSignal announced it secured $10 million in Series A funding, bringing its total raise to $23 million. DigiTx Partners led the round. Sandwater also participated alongside existing investor Maki.vc.
Dr. David…
What You Should Know:
– Debiopharm, a leading independent biopharmaceutical company, and ThinkingNodeLife.ai (TNL), a pioneer in AI-powered drug discovery, today announced a groundbreaking partnership to propel the development of a cutting-edge cancer drug.
– This…
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What You Should Know: – Amgen, a global leader in biotechnology, is embarking on a groundbreaking venture: Project Freyja. – The new initiative will harness the power of an NVIDIA DGX SuperPOD, christened after…
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Parkinson’s disease (PD) exhibits significant clinical heterogeneity, presenting challenges in the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning techniques have been integrated with resting-state EEG for PD diagnosis, but their practicality is constrained…
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Motor Neuron Disease (MND) is a progressive and largely fatal neurodegeneritve disorder with a lifetime risk of approximately 1 in 300. At diagnosis, up to 25% of people with MND (pwMND) exhibit bulbar dysfunction….
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Wearable sensors revolutionize athlete evaluation, offering remote data monitoring for comprehensive insights. These sensors provide physiological biomarkers, enabling precise performance assessment and injury prevention. By quantifying cardiovascular and biomechanical aspects, objective data surpasses subjective…
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Monitoring athletic performance is certainly nothing new. Advanced technologies in wearable sensors to monitor and evaluate physiological biomarkers offer increased opportunities to collect and quantify data without direct proximity to the athlete. To better optimize…
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Utilizing machine learning (ML) alongside mass spectrometry, UF Health researchers enhanced meningioma tumor assessment accuracy to 87%. Published in the Journal of the American Society for Mass Spectrometry, this study showcased ML’s prowess in…
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Background: Diagnostic delays in autism are common, with the time to diagnosis being up to 3 years from the onset of symptoms. Such delays have a proven detrimental effect on individuals and families going…
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