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Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study.
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFReal-world application of CCTA with CT-FFR for coronary assessment pre-TAVI: the CT2TAVI study.
Int J Cardiovasc Imaging
January 2025
Cardiology, Endeavor NorthShore Cardiovascular Institute, Evanston, IL, USA.
This study aims to evaluate the implementation of concomitant CAD assessment on pre-TAVI (transcatheter aortic valve implantation) planning CTA (CT angiography) aided by CT-FFR (CT-fractional flow reserve) [The CT2TAVI protocol] and investigates the incremental value of CT-FFR to coronary CT angiography (CCTA) alone in the evaluation of patients undergoing CT2TAVI. This is a prospective observational real-world cohort study at an academic health system on consecutive patients who underwent CTA for TAVI planning from 1/2021 to 6/2022. This represented a transition period in our health system, from not formally reporting CAD on pre-TAVI planning CTA (Group A) to routinely reporting CAD on pre-TAVI CTA (Group B; CT2TAVI protocol).
View Article and Find Full Text PDFPrediction of dry matter intake in growing Black Bengal goats using artificial neural networks.
Trop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
View Article and Find Full Text PDFBridging the digital divide for outpatients treated with anticancer chemotherapy: a retrospective quantitative and qualitative analysis of an adapted electronic Patient Reported Outcome program.
Support Care Cancer
January 2025
Department of Medical Oncology, Assistance Publique - Hôpitaux de Paris, Henri Mondor Teaching Hospital, Créteil, France, 1 Rue Gustave Eiffel, 94000.
Purpose: Using electronic patient-reported outcomes (ePRO) in clinical trial has shown benefits for patients. However, the digital divide can lead to unequal access to telehealth. We investigated whether a dedicated support program could bridge that divide.
View Article and Find Full Text PDFMedication adherence and attitudes in adolescent psychiatry: Key influences.
Clin Child Psychol Psychiatry
January 2025
Department of Clinical Pharmacy, Hacettepe University Faculty of Pharmacy, Türkiye.
Adolescents with mental illnesses often struggle with adhering to prescribed medication regimens. This study investigates how patient perceptions influence medication adherence among adolescents with psychiatric disorders. It also examines the role of patient characteristics and medication-related factors on adherence and attitudes.
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