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The development of a screener for Cerebral Visual Impairment.
Appl Neuropsychol Child
January 2025
Luxembourg Centre for Educational Testing (LUCET), Faculty of Humanities, Education and Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
This study explored the secondary use of Luxembourg's school monitoring tool for a large-scale screening of Cerebral Visual Impairment (CVI)-related difficulties. 44 items, with and without time constraint, were developed, and pretested among 959 children. All children subsequently participated in an individual evaluation of higher-level visual processing (HLVP) measures related with CVI.
View Article and Find Full Text PDFHormetic response to pesticides in diapausing bees.
Biol Lett
January 2025
Department of Entomology, Pennsylvania State University, University Park, PA, USA.
Pollinators face declines and diversity loss associated with multiple stressors, particularly pesticides. Most pollination services are provided by annual bees that undergo winter diapause, and many common pesticides are highly soluble in water and move through soil and plants where bees hibernate and feed, yet the effects of pesticides on pollinators' diapause survival and performance are poorly understood. Pesticides may have complex effects in bees, and some were shown to induce hormetic effects on various traits characterized by high-dose inhibition coupled with low-dose stimulation.
View Article and Find Full Text PDFAn in-depth review of AI-powered advancements in cancer drug discovery.
Biochim Biophys Acta Mol Basis Dis
January 2025
AIBioMed Research Group, Taipei Medical University, Taipei 110, Taiwan; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan. Electronic address:
The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by facilitating the development of personalized and effective therapies. This review examines the transformative role of AI technologies, including deep learning and advanced data analytics, in accelerating key stages of the drug discovery process: target identification, drug design, clinical trial optimization, and drug response prediction. Cutting-edge tools such as DrugnomeAI and PandaOmics have made substantial contributions to therapeutic target identification, while AI's predictive capabilities are driving personalized treatment strategies.
View Article and Find Full Text PDFNavigating the wild west: a review of guidance on clinical communications using personal BYOD, IM and third-party apps in the UK and Ireland.
Front Digit Health
January 2025
Department of Restorative Dentistry, Cork University Dental School and Hospital, University College Cork, Cork, Ireland.
Introduction: The ubiquity of Bring Your Own Device (BYOD) personal smartphones, Instant Messaging (IM), and third-party apps, has made these technologies compelling for efficient communications between clinicians regarding patient care. However, the sensitivity of patient-related information necessitates secure, GDPR compliant modalities that prevent unauthorised access and ensure confidentiality. This scoping review explores existing guidelines, policies, and regulations that advise clinicians in the UK and Ireland on the secure use of these digital communication tools.
View Article and Find Full Text PDFA female sterilization method for use in field-based behavioral studies of the invasive Asian longhorned beetle (Anoplophora glabripennis).
J Insect Sci
January 2025
Northern Research Station, U.S. Forest Service, United States Department of Agriculture, Hamden, CT, USA.
Asian longhorned beetle (Anoplophora glabripennis Motschulsky), a wood borer (Coleoptera: Cerambycidae) native to China, has been unintentionally and repeatedly introduced to North American and European landscapes as a stow-away in the wood packing material commonly used in international trade. Asian longhorned beetle causes extensive damage and mortality in multiple deciduous tree species and in response, countries in both North America and Europe have adopted policies of eradication. Models that integrate patterns of Asian longhorned beetle dispersal with records of infested trees are critical in optimizing survey and eradication efforts and tracking eradication progress.
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