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Rationale and Design of the Cancer Immunotherapy Evidence Living (CIEL) Library: A Continuously Updated Clinical Trial Database of Cancer Immunotherapies.

Background and aimsImmunotherapies for cancers are tested in large numbers of clinical trials. It is difficult for clinicians and researchers to stay current with the evidence, and traditional systematic reviews and clinical guidelines are not suited to ensure a continued overview of all trials and their results. To address this problem, we designed the Cancer Immunotherapy Evidence Living (CIEL) Library.MethodsWe included planned, ongoing, and completed interventional trials of immunotherapies for cancer, regardless of trial design (e.g., randomization, blinding, and type of comparator). We s

Оказываешь новую клиническую услугу - что у тебя в лифте?

Люди с множественным склерозом (PwMS) определяют эмоциональное благополучие как одну из ключевых неудовлетворенных потребностей в уходе. Меры, основанные на заботливости, могут повысить эмоциональное благосостояние в ПВМС; вместе с тем отсутствует информация о том, как они применяются в рамках обычного ухода. Лица, оказывающие влияние на политику в области здравоохранения, могут получить критическую информацию о процессе осуществления. Цель этого исследования заключалась в изучении потребностей и приоритетов тех, кто оказывает влияние на политику в области здравоохранения, в деле внедрения МБМ

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… Background Implementation science in a healthcare context refers to the study of the processes involved in translating evidence-based interventions from research into use in clinical care [ 1 ]. … An interview topic guide (Supplementary Material 1 ) was used to assist the flow of conversation, and the guide was developed through review of previous literature in this area, feedback from members of the iKT panel, and an implementation science framework (DSF) [ 4 ]. …

ESCP 36th European Symposium on Clinical Pharmacy ‘Implementing Clinical Pharmacy in Community and Hospital Settings: Sharing the Experience’, Istanbul, Turkey 25–27 October 2007; Abstracts

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Potential impact of the implementation of multiple-criteria decision analysis (MCDA) on the Polish pricing and reimbursement process of orphan drugs.

BackgroundThe objective of this study was to assess the potential impact of the implementation of multiple-criteria decision analysis (MCDA) on the Polish pricing and reimbursement (P&R) process with regard to orphan drugs.MethodsA four step approach was designed. Firstly, a systematic literature review was conducted to select the MCDA criteria. Secondly, a database of orphan drugs was established. Thirdly, health technology appraisals (HTA recommendations) were categorized and an MCDA appraisal was conducted. Finally, a comparison of HTA and MCDA outcomes was carried out. An MCDA outcome was

Meeting abstracts from the 21st European Symposium on Radiopharmacy and Radiopharmaceuticals

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Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities.

Optimal control theory is branch of mathematics that aims to optimize a solution to a dynamical system. While the concept of using optimal control theory to improve treatment regimens in oncology is not novel, many of the early applications of this mathematical technique were not designed to work with routinely available data or produce results that can eventually be translated to the clinical setting. The purpose of this review is to discuss clinically relevant considerations for formulating and solving optimal control problems for treating cancer patients. Our review focuses on two of the mo

Advancing patient-centric care: integrating patient reported outcomes for tolerability assessment in early phase clinical trials - insights from an expert virtual roundtable.

Early phase clinical trials provide an initial evaluation of therapies' risks and benefits to patients, including safety and tolerability, which typically relies on reporting outcomes by investigator and laboratory assessments. Use of patient-reported outcomes (PROs) to inform risks (tolerability) and benefits (improvement in disease symptoms) is more common in later than early phase trials. We convened a two-day expert roundtable covering: (1) the necessity and feasibility of a universal PRO core conceptual model for early phase trials; (2) the practical integration of PROs in early phase tri

Exploring the implementation of patient-reported outcome measures in cancer care: need for more real-world evidence results in the peer reviewed literature.

BackgroundTo explore the existing evidence of the real-world implementation of patient-reported outcomes (PROs) in oncology clinical practice and address two aims: (1) summarize available evidence of PRO use in clinical practice using a framework based on the International Society for Quality of Life Research (ISOQOL) PRO Implementation Guide; and (2) describe reports of real-world, standardized PRO administration in oncology conducted outside of scope of a research study.MethodsA Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was developed to guide the sy

Estimating cancer incidence in Uganda: a feasibility study for periodic cancer surveillance research in resource limited settings.

BackgroundPopulation based cancer registries (PBCRs) are accepted as the gold standard for estimating cancer incidence in any population. However, only 15% of the world's population is covered by high quality cancer registries with coverage as low as 1.9% in settings such as Africa. This study was conducted to assess the operational feasibility of estimating cancer incidence using a retrospective "catchment population" approach in Uganda.MethodsA retrospective population study was conducted in 2018 to identify all newly diagnosed cancer cases between 2013 and 2017 in Mbarara district. Data wer

Integrating Academic and Community Cancer Care and Research through Multidisciplinary Oncology Pathways for Value-Based Care: A Review and the City of Hope Experience.

As the US transitions from volume- to value-based cancer care, many cancer centers and community groups have joined to share resources to deliver measurable, high-quality cancer care and clinical research with the associated high patient satisfaction, provider satisfaction, and practice health at optimal costs that are the hallmarks of value-based care. Multidisciplinary oncology care pathways are essential components of value-based care and their payment metrics. Oncology pathways are evidence-based, standardized but personalizable care plans to guide cancer care. Pathways have been developed

Integrating Artificial Intelligence, Circulating Tumor DNA, and Real-World Evidence to Optimize Hematologic Clinical Trials: Toward Adaptive and Learning Trial Designs.

The integration of emerging technologies and real-world data is transforming the landscape of hematologic clinical trials. Artificial intelligence (AI) offers remarkable capabilities for predictive modeling, patient stratification, and adaptive trial design, while circulating tumor DNA (ctDNA) provides a minimally invasive biomarker for disease monitoring, the early detection of relapse, and treatment response assessment. Concurrently, real-world evidence (RWE) complements traditional clinical trial data by capturing treatment effectiveness, safety, and patient outcomes in broader, heterogeneo

Machine Learning for Multi-Omics Characterization of Blood Cancers: A Systematic Review.

Artificial Intelligence and machine learning are increasingly used to interrogate complex biological data. This systematic review evaluates their application to multi-omics for the molecular characterization of hematological malignancies, an area with unmet clinical need. We searched PubMed, Embase, Institute of Electrical and Electronics Engineers Xplore, and Web of Science from January 2015 to December 2024. Two reviewers screened records, extracted data, and used a modified appraisal emphasizing explainability, performance, reproducibility, and ethics. From 2847 records, 89 studies met incl

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… Technological Advances and Implementation Science Emerging technologies are reshaping the landscape of molecular AI/ML applications. …

Development and Preliminary Psychometric Evaluation of the ACRIS-CS: A Theory-Based Measure of Prospective Acceptability of Cognitive Rehabilitation in Cancer Survivors.

Background/Objectives: Cancer-related cognitive impairment (CRCI) is a prevalent survivorship concern associated with functional limitations and reduced quality of life. Although cognitive rehabilitation shows beneficial effects, implementation depends not only on efficacy but also on survivors' anticipated willingness to engage. No psychometrically validated instrument currently exists to assess prospective acceptability of cognitive rehabilitation among cancer survivors. This study aimed to: (1) develop the Acceptability of Cognitive Rehabilitation Interventions Survey-Cancer Survivors (ACRI

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… This profile-based interpretation supports more personalized intervention planning and aligns with stepped-care and implementation science frameworks that emphasize the tailoring of interventions to individual readiness and contextual constraints. … In research contexts, the ACRIS-CS provides a standardized measure to examine predictors of prospective acceptability and to support implementation science studies investigating readiness for cognitive rehabilitation in oncology settings. …

Optimising patient centred drug development to realise impact.

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Оценка функции верхнего лимфа с использованием технологий виртуальной реальности для взрослых с неврологическими расстройствами: систематический обзор.

Справочная информация: Виртуальная реальность (ВП) все чаще изучается в качестве инструмента для оценки состояния верхних конечностей (УЛ) у взрослых с неврологическими расстройствами. Этот обзор обобщает имеющиеся данные оценок UL на основе VR путем анализа их психометрических свойств и потенциальной роли в клинических и исследовательских условиях. Методы: Этот систематический обзор проводился в соответствии с руководящими принципами представления отчетности о систематических обзорах инструментов оценки результатов (PRRISMA-COSMIN) и был в перспективе зарегистрирован в ПРОСПЕРО. Добыча данных

Объединение АИ, вакцин РНК и ЦАР-Т ячеек для индивидуального лечения.

Онкология претерпевает глубокие преобразования, вызванные конвергенцией искусственного интеллекта (AI), вакцин на основе РНК и химерика антигенного рецептора Т-клеток (CAR-T). В индивидуальном порядке эти технологии позволяют диагностировать рак, лечить и стратифицировать пациента. Подходы, основанные на принципе АИ, способствуют обнаружению наркотиков, оптимизации клинических опытных разработок и создают возможности для индивидуализированного терапевтического принятия решений. Вакцины RNA обеспечивают гибкую платформу для кодирования неонантигенов опухоли, в то время как CAR-T-терапия дает во

Artificial intelligence powers regenerative medicine into predictive realm.

The expanding regenerative medicine toolkit is reaching a record number of lives. There is a pressing need to enhance the precision, efficiency, and effectiveness of regenerative approaches and achieve reliable outcomes. While regenerative medicine has relied on an empiric paradigm, availability of big data along with advances in informatics and artificial intelligence offer the opportunity to inform the next generation of regenerative sciences along the discovery, translation, and application pathway. Artificial intelligence can streamline discovery and development of optimized biotherapeutic

Innovations in chemotherapy and radiation therapy: Implications and opportunities for the Asia-Pacific Rim.

New cases of invasive cancer in the United States occur among nearly 1.5 million people annually. In 2007, more than 1,500 people died per day with this diagnosis. Cancer is responsible for nearly one in every four deaths reported in the country. Enormous amounts of money and research have been, and are being spent, in an attempt to improve these numbers. While prevention and early detection remain the key to long-term success, treatment in the neo-adjuvant, adjuvant and metastatic settings still centre around two main treatment modalities - radiation therapy and chemotherapy. This article wil

New Technologies and Digital Health Tools in Patients With Solid Tumors and Hematological Malignancies: Cross-Sectional Multicenter Survey Study.

BackgroundBarriers to eHealth use include lack of technological infrastructure, resistance to change, and inequities in access. However, patterns of access to and use of eHealth tools in people being treated for cancer have not been fully described in the literature.ObjectiveOur aim was to describe the patterns of access to and use of eHealth tools among outpatients receiving treatment for hematological malignancies and solid tumors.MethodsWe conducted a cross-sectional multicenter study using a survey offered to patients aged over 18 years receiving outpatient treatment for hematological mali

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… Stover AM, Haverman L, van Oers HA, Greenhalgh J, Potter CM, ISOQOL PROMs/PREMs in Clinical Practice Implementation Science Work Group Using an implementation science approach to implement and evaluate patient-reported outcome measures (PROM) initiatives in routine care settings. …

Evidence-based guidelines for physiotherapy management of patients with multiple myeloma: study protocol.

BACKGROUND: Patients with multiple myeloma (MM) are often treated with chemotherapy, radiation, and, if indicated, autologous stem cell transplant. In addition to side effects of the treatment, patients with MM often have bone pain, pathological fractures, spinal cord compressions, fatigue, and muscle weakness, which negatively impact functional performance and quality of life. Currently, there are no related guidelines for safe and effective physiotherapy (PT) management. Accordingly, the aim of the present study is to develop guidelines for effective physiotherapy management of patients with