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Two new studies have provided important mechanistic insights into TDP-43 pathology, a hallmark of neurodegenerative conditions such as amyotrophic lateral sclerosis and frontotemporal lobar degeneration.
A new study identifies LONRF2 as a protein quality control ubiquitin ligase that is induced in senescent neurons and seems to protect them against degeneration
Artificial intelligence-based tools have the potential to transform health care, enabling faster and more accurate diagnosis, personalized treatment plans, new therapeutic approaches and effective disease monitoring. Artificial intelligence shows particular promise for the management of rare neurological disorders by augmenting knowledge and facilitating the sharing of expertise among physicians.
Data-driven approaches hold considerable promise for medical breakthroughs in the precision and cost-effectiveness of the prevention, diagnosis and treatment of neurodegenerative diseases. The scientists and health care professionals who will be responsible for providing the evidence to support these approaches must also consider the ethical challenges involved in the care of people with intellectual impairments.
Artificial intelligence has emerged as a powerful tool for predicting protein structure. This technology is now being applied to improve our understanding of protein aggregation in neurodegenerative and other neurological disorders, and could potentially improve disease management by enabling precision medicine.