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An expanding horizon of complex injectable products: development and regulatory considerations.

There has been a constant evolution in the pharmaceutical market concerning the new technologies imbibed in delivering drug substances for various indications. This is either market-driven or technology-driven to improve the overall therapeutic efficacy and patients' quality of life. The pharmaceutical industry has experienced rapid growth in the area of complex injectable products because of their effectiveness in the unmet market. These novel parenteral products, viz, the nanoparticles, liposomes, microspheres, suspensions, and emulsions, have proven their worth as "Safe and Effective" produ

Radiomics analysis of thoracic vertebral bone marrow microenvironment changes before bone metastasis of breast cancer based on chest CT.

Bone metastasis from breast cancer significantly elevates patient morbidity and mortality, making early detection crucial for improving outcomes. This study utilizes radiomics to analyze changes in the thoracic vertebral bone marrow microenvironment from chest computerized tomography (CT) images prior to bone metastasis in breast cancer, and constructs a model to predict metastasis.MethodsThis study retrospectively gathered data from breast cancer patients who were diagnosed and continuously monitored for five years from January 2013 to September 2023. Radiomic features were extracted from the

Keyword Index for Volume 107

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Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseases.

Artificial intelligence (AI) is increasingly advancing precision immunotherapy by integrating high-dimensional biomedical data to support diagnosis, treatment selection, and longitudinal monitoring in both cancer and autoimmune diseases. This review summarizes AI applications in biomarker discovery, prediction of immune checkpoint inhibitor (ICI) response and toxicity, neoantigen prioritization, CAR-T cell optimization, and therapeutic antibody engineering. In oncology, multimodal models combining multi-omics, medical imaging, and clinical variables improve patient stratification and non-invas

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… Trees & Ensemble Methods | T1D, RA | EHR, biometrics, CGM glucose logs, cytokine data | Early diagnosis, complication prediction (e.g., hypoglycemia, RA activity) | Accuracy 78–93% | Supports timely diagnosis, predicts complications like hypoglycemia or disease flare | ( 357 – 359 ) Transfer Learning … Various AI algorithms, such as support vector machines, logistic regression, neural networks, and decision trees, are utilized in diabetes prediction( 258 ). These algorithms use diverse mathematical frameworks to recognize patterns and generate predictions. …

Treatment and Prevention of Cancer-Associated Thrombosis in Frail Patients: Tailored Management.

Advanced age is one of the major determinants of frailty in patients with cancer-associated thrombosis. However, multiple other factors contribute to frailty in these patients. The identification of frailty in patients with cancer-associated thrombosis is critical as it influences the complexity of the anticoagulant treatment in this population at high risk of venous thromboembolism and bleeding. Factors that contribute to frailty in patients with cancer-associated thrombosis include age, type of cancer, comorbidities such as chronic kidney disease, poly-pharmacotherapy, treatment compliance,

The diagnostic journey of a young adult with recurrent infections and progressive dyspnoea.

Recurrent infections and unexplained bronchiectasis in adults should prompt evaluation for primary immunodeficiency. Early recognition and immunoglobulin therapy can improve outcomes in common variable immunodeficiency. https://bit.ly/4qy2qoJ.

The MYRACLE protocol study: a multicentric observational prospective cohort study of patients with multiple myeloma.

BACKGROUND: Despite recent advances in the treatment of multiple myeloma, the disease constantly relapses and is still considered as incurable. The current knowledge about the biological mechanisms underlying resistance to the different class of drugs in multiple myeloma remains poor. The primary objective of the MYRACLE (Myeloma Resistance And Clonal Evolution) cohort, a multicenter prospective cohort of patients with multiple myeloma, is to address this limitation. We here describe the study background, design and methods used for this cohort. METHODS/DESIGN: All patients (> 18 year old) di

BasNet: Внимание, У-Net-автоматизированная сегментация аксонов в Bielschowsky Silver-Stained Histology.

Надежная автоматическая количественная оценка плотности аксонов в гистологовых сегментах имеет важное значение как для исследований, так и для клинической нейропатиологии, однако это по-прежнему является проблемой для пятен пропитки серебряных серебряных серебряных пятен, таких, как Бильшовский. Классические подходы к окраске и разложению цветов плохо работают на серебряных пятнах, а ручная аннотация плотно упакованных аксонов занимает много времени и подвержена взаимозависимости. Мы разработали автоматизированный аксонный сегментационный трубопровод в Биельшовском серебряном гистологическом о

Cost-effectiveness of the recombinant zoster vaccine (RZV) against herpes zoster: An updated critical review.

The objective of this study was to critically review the cost-effectiveness (CE) of the recombinant zoster vaccine (RZV) against herpes zoster (HZ). A literature review was conducted in PubMed, Embase, and Cochrane between January 1, 2017, and February 28, 2022, and on select public healthcare agency websites to identify and collect data from CE studies comparing RZV to zoster vaccine live (ZVL) or to no vaccination. Study characteristics, inputs, and outputs were collected. The overall CE of RZV was assessed. RZV vaccination against HZ is cost-effective in 15 out of 18 studies included in the

Triple MAPK inhibition salvaged a relapsed post-BCMA CAR-T cell therapy multiple myeloma patient with a BRAF V600E subclonal mutation.

BACKGROUND: Multiple Myeloma (MM) is a progressive plasma cell neoplasm characterized by heterogeneous clonal expansion. Despite promising response rates achieved with anti-BCMA CAR-T cell therapy, patients may still relapse and there are currently no clear therapeutic options in post-CAR-T settings. In this report, we present a case of a post-BCMA CAR-T relapsed/refractory (RR) MM patient with skin extramedullary disease (EMD) in which a novel MAPK inhibition combinatorial strategy was implemented based on next-generation sequencing and in vitro experiments. CASE PRESENTATION: A 61-year-old

Interventional radiology in the elderly.

Interventional radiological percutaneous procedures are becoming all the more important in the curative or palliative management of elderly frail patients with multiple underlying comorbidities. They may serve either as alternative primary minimally invasive therapies or adjuncts to traditional surgical treatments. The present report provides a concise review of the most important interventional radiological procedures with a special focus on the treatment of the primary debilitating pathologies of the elderly population. The authors elaborate on the scientific evidence and latest developments

Clonal hematopoiesis and its progression to myeloid neoplasms: insights into risk, biology, and therapeutic strategies.

Clonal hematopoiesis (CH) is defined by the clonal expansion of hematopoietic stem and progenitor cells harboring somatic mutations that confer a fitness advantage. CH is common with advancing age and becomes nearly ubiquitous in middle age. Although typically asymptomatic, CH is associated with an increased risk of hematologic malignancies particularly myeloid neoplasms (MN), diverse non-malignant conditions, and all-cause mortality. Over the past decade, research has provided major insights into the origins of CH. In addition to aging, CH is promoted by environmental exposures, inherited gen

Uncovering the boundary conditions of the association between concerns about falling and physical activity in adult populations: a scoping review protocol.

IntroductionDespite evidence of variation in how concerns about falling influence physical activity, many of the currently available knowledge syntheses merely assume that this relation is uniform across populations and contexts. Therefore, we propose a scoping review protocol to guide a summary of the bodywork that has examined the association between concerns about falling and physical activity in adult populations, with an eye on the availability of empirical evidence of moderation.Methods and analysesStudies reporting on both the concepts of concerns about falling and physical activity amo

Потенциальная роль TNFRSF12A в установлении связи между глиобластомой и болезнью Альцгеймера через общие пути подавления опухолей.

Гены, подавляющие опухоль, являются критическими регуляторами клеточного гомеостаза и широко изучаются в области онкологической биологии. Однако их роль в нейродегенеративных заболеваниях, особенно в болезни Альцгеймера, остается слабой. Недавние данные об обратной связи между раком и АД указывают на существование общих молекулярных механизмов. Мы провели комплексный анализ для выявления ТГС, которые могут участвовать как в AD, так и в глиобластоме (GBM), с использованием менделийской случайности, транскриптомного профилирования (булка и одноклеточная RNA-seq), вывода в отношении связи между к

Integrative multi-omics analysis reveals CXCL10-driven inflammation and TREM2 + macrophage-plasma cell survival niche as hallmarks of late-stage rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is characterized by persistent synovial inflammation, yet the molecular mechanisms distinguishing early from late-stage disease remain incompletely elucidated. Identifying stage-specific biomarkers and pathogenic cellular interactions is crucial for precision medicine. OBJECTIVE: To comprehensively characterize the transcriptomic landscape and cellular composition of early versus late RA synovium, identify diagnostic biomarkers, and elucidate key pathogenic cell–cell interactions driving disease chronicity. METHODS: Synovial tissues from 51 RA patients (13

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… The model was trained with 500 decision trees (ntree = 500) and default mtry parameter (square root of the number of features). Feature importance was quantified using mean decrease in Gini index, which measures total decrease in node impurity from splitting on each feature across all trees. …

Эффективность моделей машинного обучения для прогнозирования симптомов высокой чувствительности при множественном склерозе.

Текущий уход за многочисленными склерозами (МС) в первую очередь опирается на редко получаемые данные, такие, как магнитно-резонансная съемка, клинические лабораторные тесты или клиническая история, что приводит к незначительным изменениям, которые могут произойти в период между посещениями. Мобильные технологии позволяют осуществлять постоянный сбор данных и прокладывают путь к прогнозированию сложных аспектов НР, таких, как симптомы и заболевания. С этой целью мы провели первое в своем роде исследование по наблюдению под названием MS Mosail. Во-первых, мы разработали и публично запустили моб

Exploring the role of health-related quality of life measures in predictive modelling for oncology: a systematic review.

Health related quality of life (HRQoL) is increasingly assessed in oncology research and routine care, which has led to the inclusion of HRQoL in prediction models. This review aims to describe the current state of oncological prediction models incorporating HRQoL. A systematic literature search for the inclusion of HRQoL in prediction models in oncology was conducted. Selection criteria were a longitudinal study design and inclusion of HRQoL data in prediction models as predictor, outcome, or both. Risk of bias was assessed using the PROBAST tool and quality of reporting was scored with an ad

Machine Learning for Differentiating Essential Tremor: A Scoping Review.

BackgroundEssential tremor (ET) is the most common movement disorder, affecting ~6% of adults over 65 [1]. Differentiating ET from other tremors remains clinically challenging due to overlapping features and variable presentation. Artificial intelligence (AI), particularly machine learning (ML), has emerged a potential tool to support neurologists by enhancing pattern recognition and complementing traditional assessments in complex cases. This is the first scoping review examining ML's potential role in distinguishing essential tremor from other tremor types.MethodsA systematic, scoping search

Natural bioactive molecules and chemotherapeutics synergism for enhanced cancer therapy.

BACKGROUND: Chemotherapy remains a foundation of cancer care but is limited by multidrug resistance, systemic toxicities, and suboptimal selectivity, prompting interest in adjunctive strategies that improve efficacy and tolerability without adding significant burden to patients or healthcare systems. AIMS/OBJECTIVES: This review highlights evidence on natural bioactive compounds, including polyphenols, alkaloids, terpenoids, and fungal metabolites, as adjuvants to standard chemotherapeutics, with objectives to: first, delineate mechanisms by which these agents enhance cytotoxic efficacy and o

Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial.

BackgroundRecent studies suggest a connection between immunoglobulin light chains (IgLCs) and coronary heart disease (CHD). However, current diagnostic methods using peripheral blood IgLCs levels or subtype ratios show limited accuracy for CHD, lacking comprehensive assessment and posing challenges in early detection and precise disease severity evaluation. We aim to develop and validate a Coronary Health Index (CHI) incorporating total IgLCs levels and their distribution. Additionally, we aim to evaluate its effectiveness by integrating patient data and using machine learning models through d