Результаты поиска

Иммуномодуляторы и иммунопрессанты для релапсирующего многократного склероза: сетевой метаанализ.

ЦЕЛЬ: Существуют различные терапевтические стратегии для лечения лиц с повторно излучающимся множественным склерозом (РРМС), включая иммуномодуляторы, иммунодепрессанты и биологические агенты. Хотя и каждый one Из этих методов снижается частота рецидивов и замедляется накопление инвалидности по сравнению с отсутствием лечения, и их относительные преимущества остаются неясными. Это обновленный вариант обзора Кокрана, опубликованного 2015.ЦЕЛИ: Сопоставление эффективности и безопасности интерферона с помощью сетевого метаанализа beta-1bИнтерферон beta-1a, глатирамерный ацетат, натализумб, митокс

Community-based adaptation of early adolescent skills for emotions for urban adolescents and caregivers in New York City.

An increasing number of studies have sought to explore the applicability of scalable mental health interventions to bridge the adolescent mental health treatment gap. This study aimed to adapt the World Health Organization's mental health intervention Early Adolescent Skills for Emotion (EASE) for urban communities in New York City (NYC). Following the mental health Cultural Adaptation and Contextualization for Implementation framework and in collaboration with three Brooklyn community-based organizations and the NYC Mayor's Office of Community Mental Health, the intervention was intensively w

Pathology Competencies in Medical Education and Educational Cases: Update 2023.

Pathology is a core component of medical school curricula because understanding the pathogenesis of the disease is foundational both for diagnostic efficiency and optimal use of ancillary resources in patient care. The Pathology Competencies for Medical Education (PCME) were developed as a national resource of expectations of pathology knowledge for medical students. The PCME are composed of three competencies: disease mechanisms and processes, organ system pathology, and diagnostic pathology and therapeutic pathology. The learning goals and learning objectives of the PCME that were first publ

A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy.

Transthyretin amyloid cardiomyopathy, an often unrecognized cause of heart failure, is now treatable with a transthyretin stabilizer. It is therefore important to identify at-risk patients who can undergo targeted testing for earlier diagnosis and treatment, prior to the development of irreversible heart failure. Here we show that a random forest machine learning model can identify potential wild-type transthyretin amyloid cardiomyopathy using medical claims data. We derive a machine learning model in 1071 cases and 1071 non-amyloid heart failure controls and validate the model in three nation

Nanomedicine: Principles, Properties, and Regulatory Issues.

Several scientific areas have benefited significantly from the introduction of nanotechnology and the respective evolution. This is especially noteworthy in the development of new drug substances and products. This review focuses on the introduction of nanomedicines in the pharmaceutical market, and all the controversy associated to basic concepts related to these nanosystems, and the numerous methodologies applied for enhanced knowledge. Due to the properties conferred by the nanoscale, the challenges for nanotechnology implementation, specifically in the pharmaceutical development of new dru

Clinically proven natural products against breast cancer, with mechanistic insights.

BackgroundBreast cancer still stands to be the foremost contributor to cancer-related incidence and mortality in women globally accounting for about 14% of all female cancer-related deaths worldwide. This research seeks to illustrate the mechanisms and clinical findings of natural products against breast cancer treatment.MethodologyRequired data for this review article was retrieved employing several readily obtainable search databases, including Web of Science® (Thomson Reuters, USA), PubMed® (U.S. National Library of Medicine, USA), and SciVerse Scopus® (Elsevier Properties S.A., USA), takin

Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset.

The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for healthcare applications. However, due to the nature of such deep black-boxed models, concerns about interpretability, fairness, and biases in healthcare scenarios where human lives are at stake call for a careful and thorough examination of both datasets and models. In this work, we focus on MIMIC-IV (Medical Information Mart for Intensive Care, version IV), the largest publicly available healthcare dataset, and conduct comprehensive analyses of interpretability as w

Role of autophagy in cholangiocarcinoma: Pathophysiology and implications for therapy.

Cholangiocarcinoma (CCA) is a malignant tumour of the biliary system that originates from the neoplastic transformation of cholangiocytes. CCA is characterized by late diagnosis and poor outcome, with surgery considered as the last option for management. Autophagy is a physiological lysosomal degradation process, essential for cellular homeostasis and ubiquitous in all eukaryotic cells. Several studies have reported a potential involvement of autophagy in cancer, but it remains unclear whether activation of this process represents a survival mechanism of cancer cells. In the present review, we

Cured but not well - haematological cancer survivors' experiences of chemotherapy-induced peripheral neuropathy in everyday life: a phenomenological-hermeneutic study.

PurposeTo explore haematological cancer survivors' experience of chemotherapy-induced peripheral neuropathy (CIPN) in everyday life.MethodsData were generated by means of individual semi-structured interviews with 12 haematological cancer survivors who experience CIPN after completion of treatment. Data were analysed using thematic analysis.ResultsThe thematic analysis yielded an in-depth description of the experience of CIPN symptoms and the influence of the symptoms on everyday life as being unwell despite being cured. Four main themes emerged from the analysis: (1) A diffuse and contradicto

Assessing the benefit: risk ratio of a drug--randomized and naturalistic evidence.

Randomized evidence from clinical trials and naturalistic evidence collected from pharmacoepidemiology and pharmacovigilance activities both contribute to the initial and continuous assessment of the benefits and risks of a drug, ie, the balance between therapeutic efficacy and safety risks. Benefit-risk assessment (BRA) mainly relies on a qualitative assessment of quantitative data. Current attempts to quantify BRA are reviewed and discussed, along with the expectations of regulatory authorities such as the Food and Drug Administration and the European Medicines Agency. No method provides a f

Multiple Myeloma Plasmacytoid Infiltration of the Gallbladder Presenting as Acute Cholecystitis.

Secondary distal plasmacytoma that arise from multiple myeloma is a common hematological malignancy that manifests in later stages of the disease. These plasmacytomas are known to cause extensive systemic organ damage. When extramedullary plasmacytomas reach the gallbladder or biliary ducts, expansion can mimic acute acalculous cholecystitis or cholangiocarcinoma. We report a case of a 56-year-old female with a history of aggressive course IgA κ chain multiple myeloma who presented with right upper quadrant abdominal pain with nausea and vomiting for one week duration. Her laboratory panel rev

Advances and development of prostate cancer, treatment, and strategies: A systemic review.

The most common type of cancer in the present-day world affecting modern-day men after lung cancer is prostate cancer. Prostate cancer remains on the list of top three cancer types claiming the highest number of male lives. An estimated 1.4 million new cases were reported worldwide in 2020. The incidence of prostate cancer is found predominantly in the regions having a high human development index. Despite the fact that considerable success has been achieved in the treatment and management of prostate cancer, it remains a challenge for scientists and clinicians to curve the speedy advancement

A Cost Impact Analysis of clonoSEQ® as a Valid and CE-Certified Minimal Residual Disease (MRD) Diagnostic Compared to No MRD Testing in Multiple Myeloma in Germany.

IntroductionThe measurement of minimal residual disease (MRD) with clonoSEQ® can be used in the assessment of B-cell lymphoid tumor burden throughout treatment with accuracy, sensitivity and standardization when compared to traditional cytomorphology. With the approval of novel treatments, standardized MRD assessment with improved performance is increasingly important. The aim of this analysis is to estimate the cost-effectiveness of MRD testing with clonoSEQ® compared to no MRD testing for patients with multiple myeloma (MM) on maintenance therapy in Germany.MethodsThe cost impact of clonoSEQ

Prediction of Acute Kidney Injury in Oncology: From Clinical Risk Scores to AI-Enabled Precision Onco-Nephrology.

Background/Objectives: Acute kidney injury (AKI) is a common complication across the cancer care continuum and can compromise kidney function, delay or interrupt anticancer therapy, and worsen renal and oncologic outcomes. This state-of-the-art narrative review examines conventional clinical risk scores and artificial intelligence (AI)- and machine learning (ML)-based approaches to AKI prediction in oncology and identifies priorities for clinical translation. Methods: We conducted iterative searches of PubMed and Google Scholar through July 2026 and screened reference lists of relevant primary

Демографическая точность в онкологических оврагах, клинических и генетических детерминантах системной терапии.

Токсичность при лечении сдерживает применение эффективных методов лечения рака, однако ее клинические и генетические детерминанты по-прежнему недостаточно четко определены. Мы разработали подход, основанный на большой языковой модели, для производства MSK-Tox, панракорного ресурса, фиксирующего частотность, временнóсть и сорт токсичности для антираковой терапии в большей степени, чем 50,000 Пациенты. Анализ six Репрезентативные неблагоприятные явления - пневмонит, адренальная недостаточность, токсичность для печени, колит, гипертироидизм и гипотироидозные отдельные токсические ландшафты, опред

Дельфийское исследование для выявления ключевых походок и их потенциальных причин у людей с множественным склерозом.

ЦЕЛЬ: Настоящее исследование направлено на выявление характерных походок у людей с множественным склерозом, описание их ключевых характеристик и выявление их потенциальных коренных причин. ДЕСИГН: a 3-round Исследование Дельфи. УЧАСТНИКИ: 20 :: эксперты, включая физиотерапевтов, невролога, реабилитационных врачей, биомеханических инженеров и ученых-движителей, обладающих опытом в области склероза или анализа походов. МЕТОДЫ: Был составлен и проанализирован всеобъемлющий перечень характеристик похода и основных нарушений, с тем чтобы выявить общие модели похода и их основные особенности и потен

Cost-Effectiveness of Chimeric Antigen Receptor (CAR) T-Cell Therapy for Blood Cancers: An Updated Systematic Review.

BackgroundChimeric antigen receptor (CAR) T-cell therapy is an area of rapid development, showing the promise of curing blood cancers. While substantial health gains may justify high costs, it is currently unclear the extent to which the overall cost effectiveness of these therapies is driven by i) context-specific factors, such willingness-to-pay thresholds and study perspective, or ii) important subgroups such as line of treatment and therapy product.ObjectiveThis paper aims to critically review published evidence on the cost effectiveness of CAR T-cell therapies and assess the key factors t

Immune effector cell-associated neurotoxicity syndrome following CAR T-cell therapy: a review of recent advances.

BACKGROUND: Chimeric antigen receptor (CAR) T-cell therapy has transformed the treatment landscape for hematologic malignancies. However, immune effector cell-associated neurotoxicity syndrome (ICANS) remains a significant and potentially lethal complication, affecting approximately 27% to 65% of patients and challenging the therapeutic risk-benefit profile. MAIN BODY: This review synthesizes recent advances in the epidemiology, pathophysiology, diagnosis, and management of ICANS. Incidence varies significantly by product design, with anti-CD19 therapies and CD28-containing constructs demonstr

Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis.

Cardiac amyloidosis is an uncommon restrictive cardiomyopathy featuring an unregulated amyloid protein deposition that impairs organic function. Early cardiac amyloidosis diagnosis is generally delayed by indistinguishable clinical findings of more frequent hypertrophic diseases. Furthermore, amyloidosis is divided into various groups, according to a generally accepted taxonomy, based on the proteins that make up the amyloid deposits; a careful differentiation between the various forms of amyloidosis is necessary to undertake an adequate therapeutic treatment. Thus, cardiac amyloidosis is thou

Совпадение в полном тексте источника
… Using the strain values for the left, right, and right ventricular atriums as well as heart function, the decision trees (DT), k-nearest neighbor (KNN), SVM linear, and SVM radial basis function (RBF) kernel algorithms developed a 41-feature matrix. … tree, k-nearest neighbor, SVM linear, and SVM radial basis function kernel algorithm processing | [ 85 ] | Left ventricular cavity and myocardium right ventricle | Adenosine stress and rest perfusion scans | A convolutional neural network | [ 95 ] | Cine MRI images of left ventricle | Data from three …

Многомерное профилирование и модели риска, основанные на клиническом развертывании АИ, в МГУС и миеломе.

Моноклональная гаммопатия неопределённого значения (MGUS), храпающая миелома (SMM) и множественная миелома (MM) образуют континуум расстройств плазменных клеток, причем прогрессировать от MGUS до MM трудно предсказать. Нынешние модели стратификации риска, в значительной степени основанные на клинических, лабораторных и цитогенетических маркерах, не отражают молекулярную сложность, лежащую в основе развития заболеваний, что ограничивает их прогнозную точность. Последние достижения в области мультиомики, включая геномику, транскриптомику, протеомику и метаболомику, позволили глубже понять молеку