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Companion Diagnostics in Clinical Therapy: Current Applications and Future Directions.

Companion diagnostics (CDx) plays a pivotal role in precision medicine by enabling personalized treatment plans based on individual biomarker profiles. This approach can enhance therapeutic efficacy in selected indications and may reduce healthcare expenditures. Particularly in oncology, precision targeted therapies targeting pathways such as EGFR, HER2, and programmed death-1/programmed death-ligand 1 have established robust models for biomarker-driven treatment. However, rapid advancements in diagnostic technologies, expanding application scopes, and increasingly complex mechanisms of biomar

Wearable sensor-based performance status assessment in cancer: A pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2).

Clinical performance status is designed to be a measure of overall health, reflecting a patient's physiological reserve and ability to tolerate various forms of therapy. Currently, it is measured by a combination of subjective clinician assessment and patient-reported exercise tolerance in the context of daily living activities. In this study, we assess the feasibility of combining objective data sources and patient-generated health data (PGHD) to improve the accuracy of performance status assessment during routine cancer care. Patients undergoing routine chemotherapy for solid tumors, routine

Machine learning and multi-omics technologies for precision cardiovascular medicine: advancing diagnosis, risk prediction, and therapeutic guidance.

Cardiovascular disease remains a major global health burden. Owing to its complex pathogenesis and marked clinical heterogeneity, conventional one-size-fits-all strategies often yield limited benefit for a substantial proportion of patients. Precision medicine advocates individualized management based on patients' clinical and molecular characteristics to improve outcomes. In this context, multi-omics and machine learning provide critical technical support for precision medicine: multi-omics can capture the full spectrum of cardiovascular disease from molecular alterations to phenotypic manife

Цифровые сигнатуры усталости и износа у пациентов с множественным склерозом во время родов.

Симптомы выпадения (WoS) во время родовспоможения (NTZ) часто интерпретируются как субклинические заболевания у пациентов с множественным склерозом (PwMS), однако их значение остается неопределенным. В перспективном исследовании " SATURATE " ( " Один центр " )NCT05701423), мы изучили, связана ли ВОС с воспалительными или нейродегенеративными повреждениями и является ли износимость мониторинга улавливанием изменений, связанных с двигателем. Thirty-four :: были зачислены лица, прошедшие лечение в НТЗ; 28 завершено 6-month Последующая деятельность и 21 :: обеспечивала доступны

Глубокое изучение анализа изображений для множественных склерозов: диагностика и мониторинг.

Множественный склероз (MS) — аутоиммунное заболевание, которое затрагивает различные части центральной нервной системы и часто происходит среди молодежи (между 20-40 возраст). С учетом того, что MS является заболеванием на протяжении всей жизни и что в настоящее время не существует окончательного лечения MS, ранняя диагностика, начало лечения наиболее подходящими лекарствами и наблюдение за пациентами являются: three :: сложные факторы при определении статуса пациентов с НР. Магнитная резонансная съемка (MRI) и оптическая последовательность (OCT) two важных и полезных методов визуализации thre

Революционизация медицины сна: влияние машинного обучения на диагностику, лечение и индивидуальное лечение.

Преобразовательным инструментом в медицине сна стало обучение основам махинации (ML), предлагающее новаторские решения для диагностики, лечения и понимания расстройств сна. В настоящем обзоре рассматривается нынешнее состояние и будущий потенциал применения ML в этой области. Methods Мы провели всеобъемлющий обзор литературы с уделением особого внимания ключевым достижениям в области технологий ML, применяемых для лечения сна. Были изучены, в частности, такие конкретные области, как классификация стадий сна, оптимизация лечения апноэ и бессонницы сна, а также внедрение износостойкой технологии

A review of big data and medical research.

Universally, the volume of data has increased, with the collection rate doubling every 40 months, since the 1980s. "Big data" is a term that was introduced in the 1990s to include data sets too large to be used with common software. Medicine is a major field predicted to increase the use of big data in 2025. Big data in medicine may be used by commercial, academic, government, and public sectors. It includes biologic, biometric, and electronic health data. Examples of biologic data include biobanks; biometric data may have individual wellness data from devices; electronic health data include t

Assessing the Potential Usefulness of FDG LAFOV-PET for Oncological Staging: An Evaluation of Lesion Number and Uptake.

Background/Objectives: In many cases, the detection of a single lesion could revolutionise patient clinical management; not all localisations, especially those with a low uptake and, consequently, a low Tumour-to-Background Ratio (TBR), are readily detectable using [18F]F-FDG PET/CT. LAFOV-PET offers a potential enhancement in lesion detection, but the proportion of patients who would benefit from its use has yet to be determined. With the present analysis, we aimed to assess which clinical contexts the enhancement in lesion detection could affect the most. Methods: This retrospective study in

Редактор специального выпуска: последние методы и прикладные методы диагностики

Технологии добиваются гигантских успехов и все больше совершенствуют диагностику как частых, так и редких острых и хронических заболеваний [...]

The Impact of a Health Coaching App on the Subjective Well-Being of Individuals With Multimorbidity: Mixed Methods Study.

BackgroundMultimorbidity, the coexistence of 2 or more chronic conditions, is associated with poor well-being. Health coaching apps offer cost-effective and accessible support. However, there is a lack of evidence of the impact of health coaching apps on individuals with multimorbidity.ObjectiveThis study aimed to assess the impact and acceptability of a health coaching app (the Holly Health [HH] app) on the subjective well-being (SWB) of adults with multimorbidity.MethodsThis study used an explanatory-sequential mixed methods design, with quantitative secondary data analysis in the first phas

Person-centred care in oncological home services: a scoping review of patients' and caregivers' experience and needs.

BackgroundCancer became a chronic disease that could be managed at home. Homecare supported person-centred care, which was guided by the Picker Principles defining key elements for care delivery. The study aimed to explore and appraise the dimensions underlying cancer patients' and caregivers' experience and expectations with Home Cancer Care, adopting a person-centerd care framework.MethodsWe carried out a scoping review of the literature using three databases, PubMed, Scopus, and WoS for a total of 703 articles. PRISMA guidelines were followed. 57 articles were included in the review. The ex

Management of Treatment-Related Infectious Complications in High-Risk Hemato-Oncological Patients via Telemedicine.

BACKGROUND: Infectious complications, especially febrile neutropenia, in hemato-oncological patients are associated with considerable morbidity, mortality and expenses. Remote monitoring of physiological functions and thus early detection of adverse events via telemedicine could improve the safety of these high-risk patients and save financial resources by shortening the time-to-antibiotics. METHODS: Patients undergoing active cancer treatment in high risk of acquiring severe infection are selected and enrolled in this project. Each patient receives a digital blood pressure monitor, an infrar

Using a digital patient powered research network to identify outcomes of importance to patients with multiple myeloma.

BACKGROUND: Social media platforms give patients a voice by allowing them to discuss their health and connect with others. These unfiltered and genuine reports offer direct access to what matters most to patients. Exploring the patient-reported outcomes discussed in these platforms reveal clinical insights and behavioral patterns of the real-world patient journey. This research study reviewed health-related quality of life (HRQoL) concepts reported by patients with multiple myeloma (MM). METHODS: Data were obtained using the Belong.life patient-powered research network (PPRN) using social med

The biology of stress in cancer: Applying the biobehavioral framework to adolescent and young adult oncology research.

The stress response influences the development and trajectory of cancer through a host of complex neuroimmune mechanisms. Basic, translational, and clinical research has elucidated these biobehavioral connections and offers a new paradigm for scientific investigation and patient care. Using a biobehavioral approach could offer new diagnostic and therapeutic opportunities in oncology, and this approach will be particularly impactful for adolescent and young adult (AYA) patients with cancer. To date, nearly all biobehavioral oncology research has been done in the adult population. And yet, AYAs

AYAs' online information and eHealth needs: A comparison with healthcare professionals' perceptions.

BackgroundAdolescents and young adults (AYAs) diagnosed with cancer fulfill their cancer-related information needs often via the Internet. Healthcare professionals (HCPs) have a crucial role in guiding patients in finding appropriate online information and eHealth sources, a role that is often overlooked. Misperceptions of AYAs' needs by HCPs may lead to suboptimal guidance. We aimed to examine the extent to which AYAs' online information and eHealth needs corresponded with HCPs' perceptions of these needs.MethodsTwo cross-sectional online surveys (AYAs, n = 299; HCP, n = 80) on online informa

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… Exploring the digital technology preferences of teenagers and young adults (TYA) with cancer and survivors: a cross‐sectional service evaluation questionnaire. J Cancer Surviv. 2017;11(6):670‐682. doi: 10.1007/s11764-017-0618-z 10. Devine KA, Viola AS, Coups EJ, Wu YP. …

Artificial intelligence in cancer immunotherapy: current trends in predicting response and personalizing treatment.

Artificial intelligence (AI) can transform cancer immunotherapy by enabling more accurate prediction of treatment responses, the discovery of specific biomarkers, and the development of personalised treatment plans. Traditional single-marker biomarkers (PD-L1, TMB, MSI) lack consistency across tumour types and cannot be used to assess tumour heterogeneity or the dynamic tumour microenvironment (TME). This review synthesises developments in multimodal AI models that combine genomics, transcriptomics, radiomics, digital pathology (pathomics), circulating biomarkers, and clinical evidence to crea

Development of Web-Based Education Modules to Improve Carer Engagement in Cancer Care: Design and User Experience Evaluation of the e-Triadic Oncology (eTRIO) Modules for Clinicians, Patients, and Carers.

BackgroundCarers often assume key roles in cancer care. However, many carers report feeling disempowered and ill-equipped to support patients. Our group published evidence-based guidelines (the Triadic Oncology [TRIO] Guidelines) to improve oncology clinician engagement with carers and the management of challenging situations involving carers.ObjectiveTo facilitate implementation of the TRIO Guidelines in clinical practice, we aimed to develop, iteratively refine, and conduct user testing of a suite of evidence-based and interactive web-based education modules for oncology clinicians (e-Triadi

Optimization of a home hospitalization program for hematopoietic stem cell transplantation with ehealth integration and clinical pharmacist involvement.

Home hospitalization represents an alternative to traditional hospitalization, providing comparable clinical safety for hematological patients. At-home therapies can range from the delivery of intravenous antibiotics to more complex scenarios, such as the care during the early period after hematopoietic stem cell transplantation and chimeric antigen receptor T-cell therapy. Early discharge from conventional hospitalization is feasible and helps reduce hospital resources and waiting lists. The coordinated efforts of multidisciplinary teams, including hematologists, nurses, and pharmacists, ensu

Ожог среди врачей, которые лечат пациентов с множественным склерозом в США: подкаст.

Физический извержение, усиливающийся кризис в системе здравоохранения Соединенных Штатов Америки (США), характеризуется долгосрочным стрессом, связанным с работой, который проявляется в истощении энергии, чувстве повышенной умственной дистанции или цинизме к работе и снижении профессиональной эффективности. В частности, неврологи относятся к числу тех, у кого наиболее высокие показатели вымирания и наименьший уровень удовлетворенности сбалансированностью между работой и личной жизнью. В то же время данные об истощении среди врачей, которые лечат пациентов с множественным склерозом (МС), остают

Use of Real-World Evidence to Drive Drug Development Strategy and Inform Clinical Trial Design.

Interest in real-world data (RWD) and real-world evidence (RWE) to expedite and enrich the development of new biopharmaceutical products has proliferated in recent years, spurred by the 21st Century Cures Act in the United States and similar policy efforts in other countries, willingness by regulators to consider RWE in their decisions, demands from third-party payers, and growing concerns about the limitations of traditional clinical trials. Although much of the recent literature on RWE has focused on potential regulatory uses (e.g., product approvals in oncology or rare diseases based on sin