Search results for "Precision medicine."
showing 10 items of 211 documents
Future perspectives in hepatocellular carcinoma.
2010
Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies worldwide. Due to late diagnosis and advanced underlying liver cirrhosis, only limited treatment options with marginal clinical benefits have been available in up to 70% of patients. However, major progress has been achieved with regard to surveillance, early diagnosis, and multimodal treatment approaches during the last years leading to an improvement in prognosis. Particularly, the increasing knowledge of molecular hepatocarcinogenesis today provides the opportunity for targeted therapy. The multikinase inhibitor sorafenib has broadened the therapeutic horizon for patients with advanced disease and is current…
Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care
2020
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on “one-size-fits-all” guidelines. As epidemiological datasets continue to burgeon in size and complexity, powerful methods such as statistical machine learning and artificial intelligence (AI) become necessary to interpret and develop prognostic models from underlying data. Through such analysis, machine learning can be used to facilitate personalized medicine via its precise predictions. Additionally, other AI tools, such as natural language processing and computer vision, can play an instrumental part in personalizing the care provided to patients with …
Challenges and Experiences Extending the cBioPortal for Cancer Genomics to a Molecular Tumor Board Platform
2021
In Molecular Tumor Boards (MTBs), therapy recommendations for cancer patients are discussed. To aid decision-making based on the patient’s molecular profile, the research platform cBioPortal was extended based on users’ requirements. Additionally, a comprehensive dockerized workflow was developed to support the deployment of cBioPortal and connected services. In this work, we present the challenges and experiences of nearly two years of implementing and deploying an MTB platform based on cBioPortal and compare those to findings of a previous study.
Nanodiamond Theranostic for Light-Controlled Intracellular Heating and Nanoscale Temperature Sensing
2021
Temperature is an essential parameter in all biological systems, but information about the actual temperature in living cells is limited. Especially, in photothermal therapy, local intracellular temperature changes induce cell death but the local temperature gradients are not known. Highly sensitive nanothermometers would be required to measure and report local temperature changes independent of the intracellular environment, including pH or ions. Fluorescent nanodiamonds (ND) enable temperature sensing at the nanoscale independent of external conditions. Herein, we prepare ND nanothermometers coated with a nanogel shell and the photothermal agent indocyanine green serves as a heat generato…
Positioning the principles of precision medicine in care pathways for allergic rhinitis and chronic rhinosinusitis â A EUFOREA-ARIA-EPOS-AIRWAYS IC…
2017
Precision medicine (PM) is increasingly recognized as the way forward for optimizing patient care. Introduced in the field of oncology, it is now considered of major interest in other medical domains like allergy and chronic airway diseases, which face an urgent need to improve the level of disease control, enhance patient satisfaction and increase effectiveness of preventive interventions. The combination of personalized care, prediction of treatment success, prevention of disease and patient participation in the elaboration of the treatment plan is expected to substantially improve the therapeutic approach for individuals suffering from chronic disabling conditions. Given the emerging dat…
Exploring Heterogeneity with Category and Cluster Analyses for Mixed Data
2023
Precision medicine aims to overcome the traditional one-model-fits-the-whole-population approach that is unable to detect heterogeneous disease patterns and make accurate personalized predictions. Heterogeneity is particularly relevant for patients with complications of type 2 diabetes, including diabetic kidney disease (DKD). We focus on a DKD longitudinal dataset, aiming to find specific subgroups of patients with characteristics that have a close response to the therapeutic treatment. We develop an approach based on some particular concepts of category theory and cluster analysis to explore individualized modelings and achieving insights onto disease evolution. This paper exploits the vi…
Gender and Sex in Medical Practice: An Exploratory Study on Knowledge, Behavior, and Attitude among Sicilian Physicians
2022
Personalized medicine is a new paradigm in health care, and the concept of socio-cultural gender, as opposed to biological sex, emerged in several medical approaches. This exploratory study aimed to investigate the knowledge of sex and gender in clinical medicine among Sicilian physicians. Data collection was based on an online survey sent to the members of the Medical Councils of Sicily (Italy). The questionnaire included nine specific items about awareness and attitudes regarding gender medicine and its importance in clinical practice. 8023 Sicilian physicians received the solicitation e-mail and only 496 responded. Regarding the knowledge of gender medicine, 71.1% of participants stated …
Mechanistic Modeling and Multiscale Applications for Precision Medicine: Theory and Practice
2020
Drug research, therapy development, and other areas of pharmacology and medicine can benefit from simula- tions and optimization of mathematical models that contain a mathematical description of interactions between systems elements at the cellular, tissue, organ, body, and population level. This approach is the foundation of systems medicine and precision medicine. Here, simulated experiments are performed with computers (in silico) first, and they are then replicated through lab experiments (in vivo or in vitro) or clinical studies. In turn, these experiments and studies can be used to validate or improve the models. This iterative loop of dry and wet lab work is successful when biomedica…
New Sub-Phenotyping of Subjects at High Risk of Type 2 Diabetes: What Are the Potential Clinical Implications?
2021
Prediabetes is defined as a condition of abnormal glucose metabolism, characterised by plasma glucose above normal range but not as high as required for the diagnosis of diabetes mellitus (DM). It represents a heterogeneous entity of intermediate glucose metabolism, including impaired fasting glucose, impaired glucose tolerance, and borderline glycated haemoglobin. Prediabetes is being increasingly recognised as an important metabolic state not only predisposing to a higher probability of future progression to DM, but also to an increased risk of different micro- and macrovascular complications. The recently proposed sub-phenotyping of individuals at increased risk of type 2 DM, which disti…
Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges
2021
Abstract The application of imaging biomarkers in oncology is still in its infancy, but with the expansion of radiomics and radiogenomics a revolution is expected in this field. This may be of special interest in head and neck cancer, since it can promote precision medicine and personalization of treatment by overcoming several intrinsic obstacles in this pathology. Our goal is to provide the medical oncologist with the basis to approach these disciplines and appreciate their main uses in clinical research and clinical practice in the medium term. Aligned with this objective we analyzed the most relevant studies in the field, also highlighting novel opportunities and current challenges.