Results 101 to 110 of about 1,104,938 (358)
What is precision medicine? [PDF]
European Respiratory Journal, 2017 The term “precision medicine” has become very popular over recent years, fuelled by scientific as well as political perspectives. Despite its popularity, its exact meaning, and how it is different from other popular terms such as “stratified medicine”, “targeted therapy” or “deep phenotyping” remains unclear.
Erika von Mutius +5 more
openaire +2 more sources
Molecular Oncology, EarlyView.This study demonstrates that KRAS and GNAS mutations are more prevalent in patients with resected intraductal papillary mucinous neoplasms (IPMN) compared to those under clinical surveillance. GNAS mutations significantly differ between the two patient cohorts, indicating that their absence may serve as a potential biomarker to support conservative ...
Christine Nitschke +12 more
wiley +1 more source
Precision Medicine and Pediatric Epilepsy
Archives of Epilepsy, 2022 Recently, it is time to shift from a reactive attitude that treats patients after the onset of seizures to a proactive one integrated into a broader “P4 medicine” approach in the treatment of epilepsy.
Aycan Ünalp, Erdem Adalıoğlu
doaj +1 more source
The Master Observational Trial: A New Class of Master Protocol to Advance Precision Medicine. [PDF]
, 2020 This commentary introduces a new clinical trial construct, the Master Observational Trial (MOT), which hybridizes the power of molecularly based master interventional protocols with the breadth of real-world data.
Bergan, Raymond +5 more
core
Molecular Oncology, EarlyView.The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina +17 more
wiley +1 more source
Machine Learning Model Interpretability for Precision Medicine [PDF]
arXiv, 2016 Interpretability of machine learning models is critical for data-driven precision medicine efforts. However, highly predictive models are generally complex and are difficult to interpret. Here using Model-Agnostic Explanations algorithm, we show that complex models such as random forest can be made interpretable. Using MIMIC-II dataset, we successfully
arxiv
Complexity in cancer stem cells and tumor evolution: towards precision medicine [PDF]
, 2017 In this review, we discuss recent advances on the plasticity of cancer stem cells and highlight their relevance to understand the metastatic process and to guide therapeutic interventions.
La Porta, Caterina A. M. +1 more
core +2 more sources
Molecular Oncology, EarlyView.We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić +31 more
wiley +1 more source
Generalized Resemblance Theory of Evidence: a Proposal for Precision/Personalized Evidence-Based Medicine [PDF]
arXiv, 2015 Precision medicine emerges as the most important contemporary paradigm shift of medical practice but has several challenges in evidence formation and implementation for clinical practice. Precision/Personalized evidence-based medicine (pEBM) requires theoretical support for decision making and information management.
arxiv
Steps to Improve Precision Medicine in Epilepsy [PDF]
, 2023 Precision medicine is an old concept, but it is not widely applied across human health conditions as yet. Numerous attempts have been made to apply precision medicine in epilepsy, this has been based on a better understanding of aetiological mechanisms ...
Balestrini, S +3 more
core