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Epidemiological science and cancer control.

Epidemiological methods are essential for the discovery of cancer risks and prognostic factors as well as for the evaluation of cancer prevention measures. In this review, we discuss epidemiological surveillance procedures for data collection and processing to guide and evaluate the consequences of anticancer efforts for populations, assess the identification of cancer risk factors, examine barriers to cancer screening and recommended rules for early diagnosis programs. Epidemiological studies have shown that hindrances to cancer information assessment are currently encountered in developing c

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… From the 1930s to the 1950s, medical associations began recommending screening based more on intuition than on scientific evidence 111 . In 1968, Wilson and Jugner proposed essential systematic procedural requirements for which diseases and individuals to select for screening programs 112 . …

Оценка стабильности урожая генотипов пшеницы пальца методом анализа AMMI и GGE биоплота в различных условиях среды.

Производительность пшеницы пальца сильно зависит от взаимодействия генотипа × среды (GEI), что усложняет идентификацию высокопродуктивных и стабильных генотипов. В данном исследовании оценены 35 генетически разнообразных генотипов пшеницы пальца в трех агро-эко-зоне: Одиша (E1), ДжхаркHAND (E2) и Бихар (E3) в течение двух рахи сезонов (2023-24 и 2024-25). Использовался блочный дизайн с тремя повторами, и были зафиксированы ключевые количественные признаки, такие как урожайность на растение, вес 1000 зерен и количество пальцев на основной узле. Применены анализы AMMI и GGE биоплотов для оценки

Unlocking artificial intelligence, machine learning and deep learning to combat therapeutic resistance in metastatic castration-resistant prostate cancer: a comprehensive review.

Metastatic castration-resistant prostate cancer (mCRPC) remains a formidable clinical challenge despite advancements in therapy. This narrative review explores the role of artificial intelligence (AI), machine learning and deep learning in addressing therapeutic resistance in mCRPC. AI-driven approaches leverage integrated datasets encompassing genomics, proteomics and clinical parameters to uncover molecular mechanisms, predict treatment responses and identify biomarkers of resistance. These methodologies promise personalised treatment strategies tailored to individual patient profiles. Howev

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… This is a flawed perspective in medicine as it is a dynamic field with unpredictable circumstances that often require intuition and innate abilities to deal with various situations [ 142 ]. …

Investigating key genes and molecular mechanisms of prostate cancer and coronary heart disease through transcriptomics and experimental validation.

BackgroundProstate cancer (PC), a common male urogenital malignancy, and coronary heart disease (CHD), a cardiovascular disease from coronary lesions causing myocardial ischemia, interact in comorbidity. This study integrated their transcriptome data to reveal comorbid mechanisms and develop cross-disease targets.MethodsIn this research, candidate genes were derived from differential analysis and intersection analysis. Subsequently, machine learning algorithms were integrated with receiver operating characteristic (ROC) curve assessment and expression confirmation to identify key genes. Nomogr

Bone metastasis in colorectal cancer: Pathophysiology, prognostic factors, survival outcomes, and treatment strategies - A comprehensive review.

BackgroundColorectal cancer ranks as the third most prevalent cancer globally, with over 1.9 million new cases and 930,000 deaths in 2020. While the liver and lungs are the most common site of colorectal cancer metastases, bone metastasis is relatively rare but clinically significant. The rarity of bone metastasis in colorectal cancer, early diagnosis challenges, and the poorly understood mechanisms underlying bone metastasis have resulted in lesser research compared to other metastatic sites of colorectal cancer.ObjectiveThe goal of this review is to summarize pathophysiology, clinical presen

Экспертный консенсус в отношении многодисциплинарного подхода к лечению множественных заболеваний костей, связанных с миеломой.

Этот консенсус по множественным болезням костей, связанным с миеломой, подчеркивает важность многодисциплинарного подхода, который охватывает гематологию, радиологию, ортопедию и дополнительные специальности для решения сложных проблем. МБД, широко распространенное и изнуряющее осложнение множественной миэломы, приводит к боли в костях, переломам и событиям, связанным со скелетом, что оказывает глубокое воздействие на качество жизни пациентов. Эти руководящие принципы обеспечивают тщательную основу для диагностики, лечения и постоянной оценки с уделением особого внимания раннему обнаружению и

Неучтенная роль экгасомов в когнитивно-моторной нейрореабилитации: систематический обзор.

Эксгармии — это новые инструменты когнитивно-моторной нейрореабилитации, но их воздействие на взрослых с неврологическими условиями еще недостаточно изучено. В рамках этого систематического обзора были изучены исследования, полученные из PubMed, Scopus, Embase и Web of Science, с оценкой воздействия экзотомов на двигательные и когнитивные результаты. К числу приемлемых исследований относятся случайные контролируемые испытания (РСТ), не связанные с РСТС и экспериментальные проекты. Протокол был зарегистрирован на сайте ПРОСПЕРО (CRD420250655053) и составлен в соответствии с руководящими принцип

Mesenchymal stem cells lineage and their role in disease development.

BackgroundMesenchymal stem cells (MSCs) are widely dispersed in vivo and are isolated from several tissues, including bone marrow, heart, body fluids, skin, and perinatal tissues. Bone marrow MSCs have a multidirectional differentiation potential, which can be induced to differentiate the medium in a specific direction or by adding specific regulatory factors. MSCs repair damaged tissues through lineage differentiation, and the ex vivo transplantation of bone marrow MSCs can heal injured sites. MSCs have different propensities for lineage differentiation and pathological evolution for differen

Understanding Rare Anemias: Emerging Frontiers for Diagnosis and Treatment.

Background-This review provides a comprehensive overview of rare anemias, emphasizing their hereditary and acquired causes, diagnostic advancements, and evolving treatment strategies. It outlines the significance of rare anemias within public health, historical challenges in recognition and treatment, and the role of European initiatives like ENERCA and EuroBloodNet in advancing care. Content-This document discusses diagnostic technologies like next-generation sequencing and the impact of artificial intelligence, alongside the promising avenues of gene therapy, targeted drug treatments, and st

New Targeted Agents in Myasthenia Gravis and Future Therapeutic Strategies.

Myasthenia gravis (MG) is a chronic autoimmune disease for which multiple immunomodulatory therapies are available. Nevertheless, MG has a significant impact on patient quality of life. In recent years, experts' main efforts have focused on optimizing treatment strategies, since disease burden is considerably affected by their safety and tolerability profiles, especially in patients with refractory phenotypes. This article aims to offer neurologists caring for MG patients an overview of the most innovative targeted drugs specifically designed for this disease and summarizes the recent literatu

Progress on the Application of Bortezomib and Bortezomib-Based Nanoformulations.

Bortezomib (BTZ) is the first proteasome inhibitor approved by the Food and Drug Administration. It can bind to the amino acid residues of the 26S proteasome, thereby causing the death of tumor cells. BTZ plays an irreplaceable role in the treatment of mantle cell lymphoma and multiple myeloma. Moreover, its use in the treatment of other hematological cancers and solid tumors has been investigated in numerous clinical trials and preclinical studies. Nevertheless, the applications of BTZ are limited due to its insufficient specificity, poor permeability, and low bioavailability. Therefore, in r

Challenges of airway management in a patient with temporomandibular joint ankylosis complicating forceps delivery--a case report.

INTRODUCTION: These guidelines provide a comprehensive and practical framework for preventing osteoporosis. They are designed for use by healthcare professionals, including orthopaedic surgeons, primary care physicians, specialists, nurses, and allied health providers, as they work with patients at risk of or already diagnosed with osteoporosis. METHODOLOGY: This iterative process involved multiple questionnaires sent to a panel of 62 osteoporosis and bone health experts. Experts, including clinicians, researchers, and academicians, were selected based on their recognised expertise and contri

Endothelial activation and stress index associated with in-hospital mortality risk in patients with end-stage renal disease: a retrospective analysis based on the MIMIC database and machine learning model development.

BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, requiring dialysis treatment or kidney transplantation. The endothelial activation and stress index (EASIX), reflecting inflammatory status and endothelial dysfunction, has demonstrated predictive value for outcomes in multiple diseases. However, its association with in-hospital mortality (IHM) risk in ESRD patients remains unclear, and machine learning prediction models remain unestablished. METHODS: Clinical data for ESRD patients were extracted from the MIMIC-IV (3.1) database. The outcome wa

Advances in the treatment of systemic lupus erythematosus: Biologicals, small-molecular agents, and cell-depleting therapies coming to the clinic.

Systemic lupus erythematosus (SLE; lupus) remains a particular challenge for the practicing clinician on account of its chronic undulating and unpredictable course, its diverse manifestations, and-until recently-limited treatment options all associated with considerable downsides. However, a major change in this situation is currently taking place. Over the past few years, several new biological therapeutics have been approved for the treatment of SLE (belimumab and anifrolumab) or specifically for its renal organ manifestation (obinutuzumab), along with one new small molecular treatment for t

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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… in Molecular Datasets AI, as named by David Brooks and Yuval Noah Harari [ 48 ] in the concept of “Dataism”, is a term that has been used to describe the mindset or philosophy created by the emerging significance of big data where engagement with the world is changed by replacing judgments by human intuitions …

Technological Resources for Physical Rehabilitation in Cancer Patients Undergoing Chemotherapy: A Scoping Review.

Background/Objectives: Cancer patients undergoing chemotherapy often face challenges that reduce their physical function and quality of life. Technological resources offer innovative solutions for physical rehabilitation, but the extent of their application in this context remains unclear. This scoping review aims to explore and map the various technological tools used to support physical rehabilitation in cancer patients during chemotherapy, focusing on their potential to improve outcomes and enhance patient care. Methods: A scoping review was conducted following the Joanna Briggs Institute (

Взгляды заинтересованных сторон Соединенного Королевства на суррогатные концы рака и потенциальные возможности Соединенного Королевства в области реальных мировых данных для подтверждения их использования в процессе принятия решений.

Продолжительность общего выживаемости пациентов с раком увеличилась благодаря более раннему обнаружению и совершенствованию лечения. Однако эти улучшения породили трудности с оценкой воздействия новых методов лечения, особенно тех, которые используются на раннем этапе лечения. Поскольку общее выживание остается предпочтительным для большинства лиц, принимающих решения, для внедрения в практику клинической практики терапевтических инноваций может потребоваться много времени. Кроме того, трудно экстраполировать полученные результаты на разнородные группы населения и решить проблемы пациентов, же

CRISPR/Cas9: A revolutionary genome editing tool for human cancers treatment.

Cancer is a genetic disease stemming from genetic and epigenetic mutations and is the second most common cause of death across the globe. Clustered regularly interspaced short palindromic repeats (CRISPR) is an emerging gene-editing tool, acting as a defense system in bacteria and archaea. CRISPR/Cas9 technology holds immense potential in cancer diagnosis and treatment and has been utilized to develop cancer disease models such as medulloblastoma and glioblastoma mice models. In diagnostics, CRISPR can be used to quickly and efficiently detect genes involved in various cancer development, prol

Painful boney metastases.

Boney metastasis may lead to terrible suffering from debilitating pain. The most likely malignancies that spread to bone are prostate, breast, and lung. Painful osseous metastases are typically associated with multiple episodes of breakthrough pain which may occur with activities of daily living, weight bearing, lifting, coughing, and sneezing. Almost half of these breakthrough pain episodes are rapid in onset and short in duration and 44% of episodes are unpredictable. Treatment strategies include: analgesic approaches with "triple opioid therapy", bisphosphonates, chemotherapeutic agents, ho

Знания, отношение и практика у пациентов с множественной миеломой: перекрестное исследование с использованием моделей структурного уравнения в одной третичной больнице в Вэньчжоу, Китай.

ВВЕДЕНИЕ: Это исследование было направлено на оценку знаний, отношения и практики пациентов с множественной миеломой (ММ) в отношении этого заболевания. МЕТОДЫ: Это перекрестное исследование проводилось среди пациентов с MM в Руанской народной больнице в провинции Чжэцзян, Китай, в период с августа по ноябрь. 2024. Данные собирались с использованием структурированного вопросника, предназначенного для сбора демографической информации и оценки КПД участников. РЕЗУЛЬТАТЫ: Всего 442 Были проанализированы действительные вопросники. Среди респондентов 226 (В тыс.51.1%) были мужчинами, и 298 (В тыс.6