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Оказание высококачественной комплексной помощи в области склероза в Германии: проблемы и региональные модели.

Множественная склерозовая (МС) помощь в Германии вступила в стадию, когда терапевтический прогресс все больше сдерживается возможностями родовспоможения. Более ранняя диагностика, более широкий доступ к высокоэффективным методам лечения заболеваний (ДМТ) и более совершенные стратегии мониторинга расширили возможности для достижения благоприятных долгосрочных результатов. В то же время эти достижения усилили потребность в специализированных экспертных знаниях, инфильтрации и инфраструктуре мониторинга, оперативном доступе к изображениям, структурированных процедурах обеспечения безопасности и м

Свойства измерений и их применение WHODAS 2.0 в многоразовом склерозе: систематический обзор.

Фон/задачи: Множественный склероз (МС) влияет на моторное, когнитивное, психологическое и социальное функционирование, которое не в полной мере фиксируется на основе нарушений. В ходе этого систематического обзора была проведена оценка свойств измерений и их применения в соответствии с графиком Всемирной организации здравоохранения по оценке инвалидности (WHODAS) 2.0 для взрослых с МЗ в исследовательских и клинических контекстах. Методы: с момента создания библиотеки Пубмед/МЕДЛИН, Эмбазы, Скопуса, Сети науки и Кокрана до 25 мая 2026 года был проведен обыск. В ходе соответствующих экспертных и

Contextual analysis of hematopoietic stem cell transplantation in outpatients.

Objectivesto analyze and map the contextual aspects of hematopoietic stem cell transplantation in outpatients in the literature.Methodsa scoping review was conducted from October 2023 to June 2024 in databases, portals, and thesis and dissertation libraries. Data collection and analysis were based on the framework proposed by Hinds, Chaves, and Cypress, according to the contextual layers: metacontext, general, specific, and immediate.Resultsthe final sample consisted of 30 studies. Regarding the contextual layers, metacontext addressed outpatient hematopoietic stem cell transplantation worldwi

Precision Reimbursement for Precision Medicine: Using Real-World Evidence to Evolve From Trial-and-Project to Track-and-Pay to Learn-and-Predict.

Basic scientists and drug developers are accelerating innovations toward the goal of precision medicine. Regulators create pathways for timely patient access to precision medicines, including individualized therapies. Healthcare payors acknowledge the need for change but downstream innovation for coverage and reimbursement is only haltingly occurring. Performance uncertainty, high price-tags, payment timing, and actuarial risk issues associated with precision medicines present novel financial challenges for payors. With traditional drug reimbursement frameworks, payment is based on an assumed

Упражнение пациентов с множественной миеломой: аналитическая оценка.

КОЛИЧЕСТВО: Пациенты с множественной миеломой (ММ) часто сталкиваются с нарушениями двигательной функции и снижением качества жизни. Хотя практические занятия играют жизненно важную роль, в настоящее время отсутствуют какие-либо стандартные руководящие принципы, специально предназначенные для пациентов из числа ОМ. В этой статье рассматривается сфера охвата физических упражнений пациентов с MM и дополнительно анализируется нынешняя ситуация, и в ней содержатся рекомендации в отношении ранней реабилитации.ЦЕЛЬ: Цель данной статьи заключается в систематическом анализе применения практических мер

Circular RNA SMARCA5 Modulates Epithelial-Mesenchymal Transformation, Proliferation, and Metastasis of Nasopharyngeal Carcinoma Cells via microRNA-582-3p/Phosphatase and Tensin Homolog Axis.

The action mechanism in which circular RNA (circ) SMARCA5 targeted nasopharyngeal carcinoma (NPC) cell proliferation, migration, invasion, and apoptosis via microRNA (miR)-582-3p/phosphatase and tensin homolog (PTEN) axis was explored. The examination was performed via reverse transcription-quantitative polymerase chain reaction (RT-qPCR), discovering that circSMARCA5 was elevated while miR-582-3p was silenced in NPC tissues and cells. E-cadherin and N-cadherin were detected. The results illustrated transfection with si-circSMARCA5 or miR-582-3p-mimic was available to repress cancer cell advan

Emerging Trends in Diagnostic Radiology: Integrating Advanced Imaging Modalities for Early Detection, Clinical Monitoring, and Prognostic Evaluation of Multisystem Internal Medicine Disorders.

Diagnostic radiology has progressed from basic X-ray imaging to a highly advanced, multimodality discipline that integrates high-resolution structural techniques, functional and molecular imaging, and computational analytics. This review synthesizes emerging trends in diagnostic radiology with a particular focus on their relevance to multisystem internal medicine disorders. The historical evolution of imaging is outlined, from early radiographs to computed tomography (CT), magnetic resonance imaging (MRI), and hybrid platforms such as positron emission tomography-computed tomography (PET-CT) a

Optimizing the post-CAR T monitoring period in recipients of axicabtagene ciloleucel, tisagenlecleucel, and lisocabtagene maraleucel.

AbstractCD19-directed chimeric antigen receptor T-cell (CAR T) therapies, including axicabtagene ciloleucel (axi-cel), tisagenlecleucel (tisa-cel), and lisocabtagene maraleucel (liso-cel), have transformed the treatment landscape for B-cell non-Hodgkin lymphoma, showcasing significant efficacy but also highlighting toxicity risks such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). The US Food and Drug Administration has mandated patients remain close to the treatment center for 4 weeks as part of a Risk Evaluation and Mitigation Strategy

The Application of Artificial Intelligence and Drug Repositioning for the Identification of Fibroblast Growth Factor Receptor Inhibitors: A Review.

Artificial intelligence talks about modeling intelligent behavior through a computer with the least human involvement. Drug repositioning techniques based on artificial intelligence accelerate the research process and decrease the cost of experimental studies. Dysregulation of fibroblast growth factor (FGF) receptors as the tyrosine kinase family of receptors plays a vital role in a wide range of malignancies. Because of their functional significance, they were considered promising drug targets for the therapy of various cancers. This review has summarized small molecules capable of inhibiting

Integrated Network Pharmacology Approach for Drug Combination Discovery: A Multi-Cancer Case Study.

Despite remarkable efforts of computational and predictive pharmacology to improve therapeutic strategies for complex diseases, only in a few cases have the predictions been eventually employed in the clinics. One of the reasons behind this drawback is that current predictive approaches are based only on the integration of molecular perturbation of a certain disease with drug sensitivity signatures, neglecting intrinsic properties of the drugs. Here we integrate mechanistic and chemocentric approaches to drug repositioning by developing an innovative network pharmacology strategy. We developed

Machine Learning Meets Cancer.

The role of machine learning (a part of artificial intelligence-AI) in the diagnosis and treatment of various types of oncology is steadily increasing. It is expected that the use of AI in oncology will speed up both diagnostic and treatment planning processes. This review describes recent applications of machine learning in oncology, including medical image analysis, treatment planning, patient survival prognosis, and the synthesis of drugs at the point of care. The fast and reliable analysis of medical images is of great importance in the case of fast-flowing forms of cancer. The introductio

Orchestrating an immune response against cancer with engineered immune cells expressing αβTCRs, CARs, and innate immune receptors: an immunological and regulatory challenge.

Over half a century ago, the first allogeneic stem cell transplantation (allo-SCT) initiated cellular immunotherapy. For several decades, little progress was made, and toxicity of allo-SCT remained a major challenge. However, recent breakthroughs have opened new avenues to further develop this modality and to provide less toxic and equally efficient interventions for patients suffering from hematological or solid malignancies. Current novel cellular immune interventions include ex vivo expansion and adoptive transfer of tumor-infiltrating immune cells or administration of drugs which antagoniz

Reporting of surrogate endpoints in randomised controlled trial protocols (SPIRIT-Surrogate): extension checklist with explanation and elaboration.

Randomised controlled trials often use surrogate endpoints to substitute for a target outcome (an outcome of direct interest and relevance to trial participants, clinicians, and other stakeholders—eg, all cause mortality) to improve efficiency (through shortened duration of follow-up, reduced sample size, and lower research costs), and for ethical or practical reasons. However, their use has a fundamental limitation in terms of uncertainty of the intervention effect on the target outcome and limited information on potential intervention harms. There have been increasing calls for improved repo

Next-Generation Sequencing in Oncology: Genetic Diagnosis, Risk Prediction and Cancer Classification.

Next-generation sequencing (NGS) technology has expanded in the last decades with significant improvements in the reliability, sequencing chemistry, pipeline analyses, data interpretation and costs. Such advances make the use of NGS feasible in clinical practice today. This review describes the recent technological developments in NGS applied to the field of oncology. A number of clinical applications are reviewed, i.e., mutation detection in inherited cancer syndromes based on DNA-sequencing, detection of spliceogenic variants based on RNA-sequencing, DNA-sequencing to identify risk modifiers

Prices and Clinical Benefit of National Price-Negotiated Anticancer Medicines in China.

BackgroundHigh prices of anticancer medicines have increased the economic burden for both patients and health insurance systems. Since 2017, China has implemented national price negotiations for medicines, relying on evidence from health technology assessments. We aim to assess the relation between negotiated price and value of anticancer medicines listed in China's National Reimbursement Drug List (NRDL).MethodsFor all price-negotiated anticancer medicines and corresponding indications listed in the latest NRDL between 2017 and 2020, we collected their clinical outcomes data, including overal

Public Omics Explorer (POE): Создание возможностей для комплексного семантического поиска по наборам данных GEO omics на основе публикаций PubMed.

Экспоненциальный рост общедоступных массивов данных об омиках и биомедицинской литературы создает как возможности, так и проблемы для открытия данных в области биологических наук. В то время как " Gene Express Omnibus " (GEO) содержит миллионы высокопроизводительных экспериментальных наборов данных, Европейский архив нуклеотидов (ENA) хранит соответствующие исходные данные о последовательности, а " PubMed " содержит большой объем соответствующих научных публикаций, комплексное исследование этих ресурсов по-прежнему носит ограниченный характер. Мы представляем "Public Omics

Shared-Care in Complex Malignant Hematology: An Integrative Review Using the RE-AIM Evaluation Framework.

Complex malignant hematology (CMH) shared-care programs have been established to support patients with access to care closer to home. This integrative review examined what is known about CMH shared-care using the RE-AIM evaluation framework. We searched five electronic databases for articles published until 16 January 2024. Articles were included if they were qualitative or quantitative studies, reviews or discussion papers, and reported on an experience with shared-care (defined as a reciprocal, ongoing patient-sharing relationship between a specialist centre and community hospital) for patie

Совпадение в полном тексте источника
… The RE-AIM implementation science framework provides a guide for program evaluation, and has been widely applied to evaluate health services across a range of clinical settings and populations [ 10 ]. …

Machine learning in onco-pharmacogenomics: a path to precision medicine with many challenges.

Over the past two decades, Next-Generation Sequencing (NGS) has revolutionized the approach to cancer research. Applications of NGS include the identification of tumor specific alterations that can influence tumor pathobiology and also impact diagnosis, prognosis and therapeutic options. Pharmacogenomics (PGx) studies the role of inheritance of individual genetic patterns in drug response and has taken advantage of NGS technology as it provides access to high-throughput data that can, however, be difficult to manage. Machine learning (ML) has recently been used in the life sciences to discover

From virtual to reality: innovative practices of digital twins in tumor therapy.

BackgroundAs global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.ObjectiveThis study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.MethodsRelevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distri