Researchers from the VIB-KU Leuven Center for Brain & Disease Research have unveiled a predictive model that could revolutionise Alzheimer’s disease diagnosis and treatment strategies. Their study, published in Molecular Neurodegeneration, reveals how specific genetic mutations in three causal genes create a ‘molecular clock’ that accurately forecasts disease onset, potentially enabling clinicians to provide personalised […]
As artificial intelligence becomes increasingly sophisticated in mimicking human interaction, psychologists warn that intimate relationships with AI companions present significant ethical challenges ranging from disruption of human bonds to potential manipulation and exploitation of vulnerable users.
Biomedical engineers at Duke University have developed an artificial intelligence platform that can design short proteins capable of binding to and destroying previously untreatable disease-causing proteins. The breakthrough could revolutionise drug development for currently intractable diseases.
Vanderbilt researchers demonstrate effectiveness of automated alerts in prompting suicide risk screening, with interruptive alerts proving significantly more successful than passive notifications.
A multi-institutional team has developed a comprehensive suite of machine learning models that can accurately classify cancer samples into molecular subtypes, bridging a critical gap between genomic research discoveries and clinical implementation.
FUJIFILM Healthcare Europe has announced significant improvements to its DeepInsight ultrasound technology, introducing enhanced imaging capabilities through artificial intelligence and advanced beamforming technology aimed at supporting early diagnosis and treatment planning.
In this insightful analysis, Fabio Zaniboni, Founder & Chief Vision Officer at BubblyNet, examines how Internet of Things (IoT) technology is revolutionizing hospital operations. Drawing from over two decades of experience in IoT and digital transformation, Zaniboni demonstrates how smart building solutions can simultaneously reduce energy consumption, automate regulatory compliance, and enhance patient outcomes through […]
Researchers at Weill Cornell Medicine have utilised advanced machine learning techniques to identify three distinct subtypes of Parkinson’s disease, potentially paving the way for more personalised treatment approaches.
A comprehensive analysis of FDA-approved artificial intelligence medical devices reveals significant gaps in clinical validation, raising concerns about their effectiveness and safety in real-world healthcare settings.
A new artificial intelligence-enabled ultrasound device allows novice users to estimate gestational age as accurately as trained sonographers, potentially revolutionising prenatal care in resource-limited settings.
April 2024
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