Modern medicine thrives on the ideal of specific diseases, and specificity has revolutionized thinking in clinical practice (e.g., psychiatry) as well as biomedical research (e.g., neuroscience). Different notions of specificity exist (e.g., clinical, biological, and behavioral). Behavioral specificity takes on new meaning in light of recent neuroimaging and genetic findings. Drawing on the metaphor of pharmacological specificity, we provide converging data suggesting that, at least for certain individuals, specific behavioral interventions can influence focal brain activations. Interpretation of these data paves the road to a more scientific strategy for studying the neural basis of suggestion and placebo response, and holds promise for the optimal matching of patient and treatment.
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http://dx.doi.org/10.1080/00029157.2007.10401614 | DOI Listing |
NPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
View Article and Find Full Text PDFBMJ Open
January 2025
Centre for Public Health, Institute of Clinical Sciences B, Royal Victoria Hospital, Queen's University Belfast School of Medicine, Dentistry and Biomedical Sciences, Belfast, UK.
Objectives: This study sheds light on the available global definitions, classifications, and criteria used for rare diseases (RDs), ultrarare diseases (URDs), orphan drugs (ODs) and ultraorphan drugs (UODs) and provides insights into the rationale behind these definitions.
Design: A systematic literature review was conducted to identify existing definitions and the criteria used to define RDs, ODs and their subtypes.
Data Sources: Searches were performed in the PubMed/Medline, Embase, Scopus and Web of Science (Science and Social Sciences Citation Index) databases covering articles published from 1985 to 2021.
Comput Methods Programs Biomed
January 2025
Regional Institute of Ophthalmology, Indira Gandhi Institute of Medical Sciences, Patna, 800025, Bihar, India.
Background And Objectives: Hypertensive Retinopathy (HR) is a retinal manifestation resulting from persistently elevated blood pressure. Severity grading of HR is essential for patient risk stratification, effective management, progression monitoring, timely intervention, and minimizing the risk of vision impairment. Computer-aided diagnosis and artificial intelligence (AI) systems play vital roles in the diagnosis and grading of HR.
View Article and Find Full Text PDFViruses
January 2025
Antiguo Hospital Civil de Guadalajara, "Fray Antonio Alcalde", Guadalajara 44280, Mexico.
This study investigates the relationship between SARS-CoV-2 RT-PCR cycle threshold (Ct) values and key COVID-19 transmission and outcome metrics across five years of the pandemic in Jalisco, Mexico. Utilizing a comprehensive time-series analysis, we evaluated weekly median Ct values as proxies for viral load and their temporal associations with positivity rates, reproduction numbers (Rt), hospitalizations, and mortality. Cross-correlation and lagged regression analyses revealed significant lead-lag relationships, with declining Ct values consistently preceding surges in positivity rates and hospitalizations, particularly during the early phases of the pandemic.
View Article and Find Full Text PDFNutrients
January 2025
Food Systems Program, University of Vermont, Burlington, VT 05405, USA.
Background/objectives: Rural communities face a disproportionate burden in terms of diet-related health challenges and have been identified as a target for the U.S. Department of Agriculture's nutrition security initiatives.
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