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AI predictive modeling of survival outcomes for renal cancer patients undergoing targeted therapy.

Renal clear cell cancer (RCC) is a complex disease that is challenging to predict patient outcomes. Despite improvements with targeted therapy, personalized treatment planning is still needed. Artificial intelligence (AI) can help address this challenge by developing predictive models that accurately forecast patient survival periods. With AI-powered decision support, clinicians can provide patients with tailored treatment plans, enhancing treatment efficacy and quality of life. The study analyzed 267 patients with renal clear cell carcinoma, focusing on 26 who received targeted drug therapy.

Geriatric assessment for the practicing clinician: The why, what, and how.

Older adults with cancer heterogeneously experience health care, treatment, and symptoms. Geriatric assessment (GA) offers a comprehensive evaluation of an older individual's health status and can predict cancer-related outcomes in individuals with solid tumors and those with hematologic malignancies. In the last decade, randomized controlled trials have demonstrated the benefits of GA and GA management (GAM), which uses GA information to provide tailored intervention strategies to address GA impairments (e.g., implementing physical therapy for impaired physical function). Multiple phase 3 cli

Назад ходьба как знак мобильности и инвалидности в мультипликационном склерозе: перекрестный анализ.

Справочная информация: Недостатки мобильности при множественном склерозе (МС) существенно влияют на качество жизни. В ходе этого исследования была проведена оценка клинической полезности и чувствительности испытания 25-футовой прогулки в обратном направлении (B-T25FW) и его связей с ключевыми клиническими мерами в MS. Методы: В двух центрах было проведено перекрестное исследование 129 пациентов амбулаторного лечения. Была проведена оценка инвалидности (расширенная шкала инвалидности, EDS), когниции (испытание на симболическую дигитацию, SMT), ручной декситерит (испытание на нижний столб, 9HPT)

Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development.

The discovery and advances of medicines may be considered as the ultimate relevant translational science effort that adds to human invulnerability and happiness. But advancing a fresh medication is a quite convoluted, costly, and protracted operation, normally costing USD ~2.6 billion and consuming a mean time span of 12 years. Methods to cut back expenditure and hasten new drug discovery have prompted an arduous and compelling brainstorming exercise in the pharmaceutical industry. The engagement of Artificial Intelligence (AI), including the deep-learning (DL) component in particular, has bee

Exploring the applicability, combined strategies, and challenges of ablation in hematology based on its characteristics and immunomodulatory mechanisms.

Malignant hematological diseases, such as lymphoma, leukemia, and multiple myeloma, are frequently accompanied by clinical challenges including local progressive lesions, relapsed/refractory conditions, and poor tolerance to standard treatments in special populations. Systemic therapies represented by chemotherapy and targeted therapy have inherent limitations in addressing local tumor burden, relieving organ compression, and being suitable for frail patients. As a minimally invasive local treatment technology, ablation has been widely used in solid tumor therapy due to its advantages of preci

The effects of coagulation factors on the risk of autoimmune diseases: A Mendelian randomization study.

The objective of this study was to investigate the potential causal relationship between coagulation factors and autoimmune diseases (ADs). We employed Mendelian randomization to investigate the associations between selected 7 coagulation factors and 10 ADs, leveraging genetic variants as instrumental variables to assess causal relationships between exposures of interest and outcomes. Within the scope of this investigation, coagulation factors were designated as the exposure source, while ADs were observed to manifest as the consequent outcome. Our analysis using the inverse-variance weighted

Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and Challenges.

The expanding digitalization of routine diagnostic histological slides holds a potential to apply artificial intelligence (AI) to pathology, including bone marrow (BM) histology. In this perspective, we describe potential tasks in diagnostics that can be supported, investigations that can be guided, and questions that can be answered by the future application of AI on whole-slide images of BM biopsies. These range from characterization of cell lineages and quantification of cells and stromal structures to disease prediction. First glimpses show an exciting potential to detect subtle phenotypic

Smartphone Apps for Patients With Hematologic Malignancies: Systematic Review and Evaluation of Content.

BackgroundHematological malignancies (HMs) are a heterogeneous group of cancers representing a significant cause of morbidity and mortality. The chronification of HMs and the increasing use of smartphones may lead patients to seek their current unmet needs through mobile health apps.ObjectiveThe goal of this review was to identify and assess the quality of smartphone apps aimed at patients diagnosed with HMs.MethodsA systematic search of apps that were aimed at patients diagnosed with HMs, accessed from a Spain IP address, and were available on the iOS (App Store) and Android (Google Play) pla

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation viral and non-viral delivery platforms, are transforming treatment paradigms across cancer, rare genetic disorders, immune dysregulation, and neurodegenerative disease. These therapies offer curative potential but also present safety challenges owing to prolonged biological activity, systemic immune engagement, and lasting genomic alterations. This review examines the range of related toxicities, including immune complications, genotoxicity, and organ-specific effects, with attention to atypical pr

Brave new world: expanding home care in stem cell transplantation and advanced therapies with new technologies.

Hematopoietic stem cell transplantation and cell therapies like CAR-T are costly, complex therapeutic procedures. Outpatient models, including at-home transplantation, have been developed, resulting in similar survival results, reduced costs, and increased patient satisfaction. The complexity and safety of the process can be addressed with various emerging technologies (artificial intelligence, wearable sensors, point-of-care analytical devices, drones, virtual assistants) that allow continuous patient monitoring and improved decision-making processes. Patients, caregivers, and staff can also

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… Several barriers including psychological and personal factors, training opportunities or connectivity, as well as facilitators for the incorporation of digital technologies by healthcare staff should be addressed to implement real change ( 69 ). e. … Digital technology for diabetes. New Engl J Med. (2023) 389:2076–86. doi: 10.1056/NEJMra2215899 55. Hurtado L, Gonzalez Concepcion M, Flix-Valle A, Ruiz-Romeo M, Gonzalez-Rodriguez S, Peña M, et al. …

Development of a Patient-Centered Preference Tool for Patients With Hematologic Malignancies: Protocol for a Mixed Methods Study.

BackgroundThe approval of novel therapies for patients diagnosed with hematologic malignancies have improved survival outcomes but increased the challenge of aligning chemotherapy choices with patient preferences. We previously developed paper versions of a discrete choice experiment (DCE) and a best-worst scaling (BWS) instrument to quantify the treatment outcome preferences of patients with hematologic malignancies to inform shared decision making.ObjectiveWe aim to develop an electronic health care tool (EHT) to guide clinical decision making that uses either a BWS or DCE instrument to capt

The GIMEMA-ALLIANCE Digital Health Platform for Patients With Hematologic Malignancies in the COVID-19 Pandemic and Postpandemic Era: Protocol for a Multicenter, Prospective, Observational Study.

BACKGROUND: The COVID-19 pandemic has raised unprecedented challenges in the management of patients with cancer and has increased the demands for digital health tools that, for example, could facilitate remote monitoring of patients. Based on this, the Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA) has recently developed a digital health tool dedicated to patients with hematologic malignancies: the GIMEMA-ALLIANCE platform. OBJECTIVE: The main objectives of this web-based platform are to generate relevant data to better understand quality of life, symptoms, and medication adherenc

Advancing patient-centered cancer care: a systematic review of electronic patient-reported outcome measures.

BackgroundElectronic Patient-Reported Outcome Measures (ePROMs) have emerged as valuable tools in cancer care, facilitating the comprehensive assessment of patients' physical, psychological, and social well-being. This study synthesizes literature on the utilization of ePROMs in oncology, highlighting the diverse array of measurement instruments and questionnaires employed in cancer patient assessments. By comprehensively analyzing existing research, this study provides insights into the landscape of ePROMs, informs future research directions, and aims to optimize patient-centred oncology care

Меры по оказанию помощи в случае хронических заболеваний, основанные на группировании: систематический обзор случайных контролируемых испытаний.

Растущее глобальное бремя хронических заболеваний требует новых и интерактивных и устойчивых мер. Гамификация стала новаторской стратегией, направленной на более активное вовлечение пациентов в лечение хронических заболеваний и их самостоятельное лечение. Хотя gamification широко используется в сфере здравоохранения, анализ данных о ее эффективности в различных клинических условиях остается непоследовательным. three основные базы данных: EBSCOhost, PubMed и Scopus вместе с two поисковые системы, включая Google Scientific and Sage Journal, без ограничений по годам, после PRISMA 2020 и методолог

Advancing Medulloblastoma Treatment: Molecular Mechanisms, Drug Repurposing, and Precision Therapies.

Medulloblastomas are the most common malignant pediatric brain tumors, representing approximately 20% of the central nervous system cancers in children. These tumors are highly heterogeneous and classified into four molecular subgroups-WNT, SHH, Group 3, and Group 4-each with distinct genetic and epigenetic profiles that influence tumor behavior, therapeutic response, and patient outcomes. Advances in molecular diagnostics have improved the subclassification of medulloblastomas, yet treatment outcomes for high-risk subtypes, particularly Group 3, remain poor, with current modalities often asso

The 48th Annual Meeting of the European Society for Blood and Marrow Transplantation: Nurses Group - Poster Sessions (NP001 - NP054).

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Резюме, представленные на 32nd Ежегодная конференция Международного общества по изучению качества жизни.

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Molecular and physical technologies for monitoring fluid and electrolyte imbalance: A focus on cancer population.

Several clinical examinations have shown the essential impact of monitoring (de)hydration (fluid and electrolyte imbalance) in cancer patients. There are multiple risk factors associated with (de)hydration, including aging, excessive or lack of fluid consumption in sports, alcohol consumption, hot weather, diabetes insipidus, vomiting, diarrhea, cancer, radiation, chemotherapy, and use of diuretics. Fluid and electrolyte imbalance mainly involves alterations in the levels of sodium, potassium, calcium, and magnesium in extracellular fluids. Hyponatremia is a common condition among individuals

Customized Marketing Strategies for Cancer Immunocyte Therapy Based on its Distinctive Attributes.

Cancer constitutes a persistent global health challenge, and immunocyte therapy has emerged as one approach in oncological care. This narrative review aimed to systematically analyze, synthesize, and critically interpret the therapeutic characteristics, advantages, market landscape, and current access barriers of cancer immunocyte therapy, based on thematic clustering and cross‑study integration of clinical evidence, market data, and industry reports. Immunocyte therapy exhibits distinctive features including personalization, long‑term immune memory, and observed efficacy in refractory maligna

The impact of mHealth interventions on medication adherence in breast cancer: a systematic review of randomized controlled trials.

BackgroundNon-adherence to medication can reduce therapeutic effectiveness in breast cancer patients, thereby increasing the risk of disease progression or recurrence. This study aimed to systematically review the existing scientific literature on the impact of mHealth interventions on medication adherence among breast cancer patients.MethodsThis systematic review was conducted following PRISMA guidelines and focused on randomised clinical trials published in English. The review evaluated the effectiveness of mHealth interventions in improving medication adherence in breast cancer patients fro

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… Digital technology: The future is bright. Clinical Pharmacology & Therapeutics , 104(1), 9–11. 10.1002/cpt.1092 Sterne, J. A., Hernán, M. A., Reeves, B. C., Savović, J., Berkman, N. D., Viswanathan, M., Henry, D., Altman, D. G., Ansari, M. T., Boutron, I., Carpenter, J. R., Chan, A. …