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AggNet: Advancing protein aggregation analysis through deep learning and protein language model.
Protein Sci
February 2025
Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Protein aggregation is critical to various biological and pathological processes. Besides, it is also an important property in biotherapeutic development. However, experimental methods to profile protein aggregation are costly and labor-intensive, driving the need for more efficient computational alternatives.
View Article and Find Full Text PDFDevelopment of the Foot and Ankle Activity Level Scale (FAALS) Instrument.
Foot Ankle Int
January 2025
Howard Head Sports Medicine at Vail Health, Vail, CO, USA.
Background: Activity level is a benchmark to document patient recovery; however, there is a lack of instrumentation to measure activity level specific to the foot and ankle. The purpose of this study was to develop a foot and ankle activity level scale (FAALS) instrument that will serve as an effective clinical tool for practitioners by assigning an activity level to patients.
Methods: This was a 4-phase study with 3 rounds of data collection (n = 1432).
Predicting Survival Rates in Brain Metastases Patients from Non-Small Cell Lung Cancer Using Radiomic Signatures Associated with Tumor Immune Heterogeneity.
Adv Sci (Weinh)
January 2025
The department of oncology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Non-small cell lung cancer (NSCLC) frequently metastasizes to the brain, significantly worsened prognoses. This study aimed to develop an interpretable model for predicting survival in NSCLC patients with brain metastases (BM) integrating radiomic features and RNA sequencing data. 292 samples are collected and analyzed utilizing T1/T2 MRIs.
View Article and Find Full Text PDFTowards a sustainable set of European Core Health Indicators (ECHI).
J Health Monit
December 2024
National Institute for Public Health and the Environment (RIVM), Centre for Public Health, Healthcare and Society, Bilthoven, The Netherlands.
Background: The European Core Health Indicators (ECHI) are a set of 88 indicators that provide a compact overview of the extensive field of European public health and healthcare. The ECHI set adds value to European Union health information systems (HIS) for both Member States and EU-associated countries and the European Commission by providing a solid, comparable information base on national public health and healthcare trends and developments. The indicators allow for learning by comparison and the list supports the organisation of national health information systems.
View Article and Find Full Text PDFDesign, implementation and evaluation of value-based payment models: a Delphi study.
BMC Health Serv Res
January 2025
Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, CAHPRI, Maastricht University Medical Center, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands.
Background: This study explores the facilitating and inhibiting factors in the design/development, implementation, and applicability/evaluation of value-based payment models of integrated care. The Delphi technique was used to reach consensus among a panel of (inter)national experts on these factors.
Methods: An expert panel of 15 members participated in a three-round Delphi study.
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