Complexity in biology is often described using a multi-map hierarchical architecture, where the genotype, representing the encoded information, is mapped to the functional level, known as the phenotype, which is then connected to a latent phenotype we refer to as fitness. This underlying architecture governs the processes driving evolution. Furthermore, natural selection, along with other neutral forces, can, in turn, modify these maps. At each level, variation is observed. Here, I propose the need to establish principles that can aid in understanding the transformation of variation within this multi-map architecture. Specifically, I will introduce three, related to the presence of modulators, constraints, and the modular channeling of variation. By comprehending these design principles in various biological systems, we can gain better insights into the mechanisms underlying these maps and how they ultimately contribute to evolutionary dynamics.
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http://dx.doi.org/10.1088/1478-3975/ad5d6c | DOI Listing |
Mol Diagn Ther
January 2025
Istituto Europeo di Oncologia, IRCCS, Via Adamello 16, 20139, Milan, Italy.
Background: Predicting response to targeted cancer therapies increasingly relies on both simple and complex genetic biomarkers. Comprehensive genomic profiling using high-throughput assays must be evaluated for reproducibility and accuracy compared with existing methods.
Methods: This study is a multicenter evaluation of the Oncomine™ Comprehensive Assay Plus (OCA Plus) Pan-Cancer Research Panel for comprehensive genomic profiling of solid tumors.
Clin Drug Investig
January 2025
Department of Medicine, Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
Purpose: The REDUCE-IT randomized trial demonstrated a cardiovascular benefit of icosapent ethyl (IPE) but also raised potential safety signals for atrial fibrillation (AF) and serious bleeding. We aimed to evaluate the real-world safety of IPE versus mixed omega-3 polyunsaturated fatty acid (OM-3) formulations.
Methods: This retrospective active comparator new-user cohort study compared rates of new-onset AF and major bleeding (MB) among adult new users of IPE versus OM-3 in 2020-2024 US Veterans Affairs data.
ACS Nano
January 2025
School of Medicine, Nankai University, Tianjin 300071, China.
Designing dual-targeted nanomedicines to enhance tumor delivery efficacy is a complex challenge, largely due to the barrier posed by blood vessels during systemic delivery. Effective transport across endothelial cells is, therefore, a critical topic of study. Herein, we present a synthetic biology-based approach to engineer dual-targeted ferritin nanocages (Dt-FTn) for understanding receptor-mediated transport across tumor endothelial cells.
View Article and Find Full Text PDFBMJ Open Qual
December 2024
Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.
Background: Driven by rising retirement age and increasing prevalence of chronic diseases impacting work participation, there is an increasing need for quality and efficiency improvement in social insurance medicine (SIM). SIM provides guidance to individuals facing long-term work disability, assess their functional abilities and eligibility for long-term disability benefits. Value-based healthcare (VBHC) targets quality and efficiency improvements in healthcare by placing a priority on improving patient value.
View Article and Find Full Text PDFSensors (Basel)
January 2025
State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing 401133, China.
With the advancement of federated learning (FL), there is a growing demand for schemes that support multi-task learning on multi-modal data while ensuring robust privacy protection, especially in applications like intelligent connected vehicles. Traditional FL schemes often struggle with the complexities introduced by multi-modal data and diverse task requirements, such as increased communication overhead and computational burdens. In this paper, we propose a novel privacy-preserving scheme for multi-task federated split learning across multi-modal data (MTFSLaMM).
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