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Integrating biomarkers for hemostatic disorders into computational models of blood clot formation: A systematic review.
Math Biosci Eng
December 2024
Laboratory of Optimization, Design, and Advanced Control, School of Chemical Engineering, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil.
In the pursuit of personalized medicine, there is a growing demand for computational models with parameters that are easily obtainable to accelerate the development of potential solutions. Blood tests, owing to their affordability, accessibility, and routine use in healthcare, offer valuable biomarkers for assessing hemostatic balance in thrombotic and bleeding disorders. Incorporating these biomarkers into computational models of blood coagulation is crucial for creating patient-specific models, which allow for the analysis of the influence of these biomarkers on clot formation.
View Article and Find Full Text PDFA One Stone Three Birds Paradigm of Photon-Driven Pyroptosis Dye for Amplifying Tumor Immunotherapy.
Adv Sci (Weinh)
January 2025
Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, South Korea.
Activating the pyroptosis pathway of tumor cells by photodynamic therapy (PDT) for immunogenic cell death (ICD) is considered a valid strategy in pursuit of antitumor immunotherapy, but it remains a huge challenge due to the lack of reliable design guidelines. Moreover, it is often overlooked that conventional PDT can exacerbate the development of tumor immunosuppressive microenvironment, which is apparently unfavorable to clinical immunotherapy. The endoplasmic reticulum's (ER) pivotal role in cellular homeostasis and its emerging link to pyroptosis have galvanized interest in ER-centric imaging and therapeutics.
View Article and Find Full Text PDFObtaining personalized predictions from a randomized controlled trial on Alzheimer's disease.
Sci Rep
January 2025
TauRx Therapeutics, Aberdeen, Scotland.
The purpose of this article is to infer patient level outcomes from population level randomized control trials (RCTs). In this pursuit, we utilize the recently proposed synthetic nearest neighbors (SNN) estimator. At its core, SNN leverages information across patients to impute missing data associated with each patient of interest.
View Article and Find Full Text PDFTailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy.
Nat Commun
January 2025
Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, PR China.
The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturbation engineering (iCASE) strategy to construct hierarchical modular networks for enzymes of varying complexity. Molecular mechanism analysis elucidates that the peak of adaptive evolution is reached through a structural response mechanism among variants.
View Article and Find Full Text PDFElectret integrated magnetic field sensor based on magnetostrictive polymer composite with nT resolution.
Sci Rep
January 2025
Functional Nanomaterials, Department of Materials Science, Kiel University, Kaiserstr. 2, 24143, Kiel, Germany.
The pursuit for advanced magnetoelectric field sensors has gained momentum, driven by applications in various fields, ranging from biomedical applications to soft robotics and the automotive sector. In this context, a capacitive read-out based magnetostrictive polymer composite (MPC) sensor element is introduced, offering a new perspective on magnetic field detection. The sensor element's unique feature is the possibility to independently tailor its mechanical and magnetic properties.
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