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Computational approaches in rheumatic diseases - Deciphering complex spatio-temporal cell interactions.

Inflammatory arthritis, including rheumatoid (RA), and psoriatic (PsA) arthritis, are clinically and immunologically heterogeneous diseases with no identified cure. Chronic inflammation of the synovial tissue ushers loss of function of the joint that severely impacts the patient's quality of life, eventually leading to disability and life-threatening comorbidities. The pathogenesis of synovial inflammation is the consequence of compounded immune and stromal cell interactions influenced by genetic and environmental factors. Deciphering the complexity of the synovial cellular landscape has accel

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… Random Forest (RF), Support Vector Machine (SVM), Neural Network (NN), Logistic Regression (LR), extreme gradient boosting (XGBoost), SHapley Additive explanation (SHAP), Deep Learning (DL) Area | Outcome | ML | Limitations | Study Photonics | Classification of macrophages to M1 or M2 subpopulations …

From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents.

The potential for the use of antimicrobial peptides (AMPs) as anticancer agents has garnered much interest because of their selective cytotoxicity to tumor cells and ability to evade multidrug resistance mechanisms. AMPs are shorter cationic amphiphilic molecules, part of our innate immune system, with direct membrane-disruptive activity and immunomodulatory effects. Anticancer peptides (ACPs) can be derived from natural biophysical sources or synthetically engineered, taking advantage of the unique biophysical properties of cancer cell membranes to exert their anti-tumor activities rapidly an

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… Direct Sequence Analysis Initial background Raghava and others proposed three prediction systems employing the basis on the preferences of AMPs sequences in the Antimicrobial Peptide Database (APD): (1) Support Vector Machine (SVM), (2) Artificial Neural Network (ANN), (3) Quantitative Matrix (QME). …

Genome Editing Approaches with CRISPR/Cas9 for Cancer Treatment: Critical Appraisal of Preclinical and Clinical Utility, Challenges, and Future Research.

The increasing burden on human malignant diseases became a major concern for healthcare practitioners, that must deal with tumor relapse and the inability to efficiently treat metastasis, in addition to side effects. Throughout the decades, many therapeutic strategies have been employed to improve the clinical outcomes of cancer patients and great efforts have been made to develop more efficient and targeted medicines. The malignant cell is characterized by genetic and epigenetic modifications, therefore targeting those specific drivers of carcinogenesis is highly desirable. Among the genome e

Bibliometric analysis of bone metastases from lung cancer research from 2004 to 2023.

BackgroundBone metastases of lung cancer (BMLC) severely diminish patients' quality of life due to bone-related events, and the lack of clear guidelines globally regarding medical and surgical treatment significantly reduces patient survival. While knowledge about BMLC has grown exponentially over the past two decades, a comprehensive and objective bibliometric analysis remains absent.MethodsA comprehensive bibliometric analysis was conducted on relevant literature on BMLC extracted from the Web of Science database from 2004 to 2023 by Biblioshiny, VOSviewer, Scimago Graphica, CiteSpace, and M

Beyond SINS: A Critical Review of Biomechanical, Microstructural, and Radiomic Biomarkers for Predicting Fracture Risk in Spinal Metastases

Background/Objectives: Although the Spinal Instability Neoplastic Score (SINS) is widely used to estimate spinal metastases fracture risk and guide decisions on stabilisation procedures, prior studies have demonstrated mixed results. Patients with the same score exhibit clinically heterogeneous outcomes, with some SINS criteria correlating less well with the estimated fracture risk than others. There are also barriers to implementation such as the time burden required for manual calculation and interobserver variability associated with qualitative morphological criteria. SINS also lacks sensit

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… Various models have demonstrated utility in this domain, including logistic regression, support vector machines, gradient boosting, and artificial neural networks. …

Унификация одиссеи: искусственный интеллект для диагностирования и лечения редких заболеваний.

Подытожить текущие проблемы в диагностике и лечении редких заболеваний (РД), осветить последние достижения в области искусственного интеллекта (АИ) для РД и предложить модель будущего состояния лечения пациентов РД. Многодисциплинарный экспертный обзор с кратким изложением современных практических задач и мер по ограничению ставок в области РД-клиентов с учетом ключевых клинических и исследовательских соображений в отношении нормативных и экономических ограничений. 10,000 известные РД оказывают коллективное воздействие 1 В 10 Американцы, в целом 30 million Люди. Ежегодно на РД приходится свыше

Safety and Tolerability of Letetresgene Autoleucel (GSK3377794): Pilot Studies in Patients with Advanced Non-Small Cell Lung Cancer.

PurposeThe study aims to evaluate the safety, tolerability, and antitumor response of letetresgene autoleucel (lete-cel), genetically modified autologous T cells expressing a T-cell receptor specific for New York esophageal squamous cell carcinoma 1 (NY-ESO-1)/LAGE-1a shared epitope, alone or in combination with pembrolizumab, in HLA-A*02-positive (HLA-A*02:01, HLA-A*02:05, and/or HLA-A*02:06) patients with NY-ESO-1- and/or LAGE-1a-positive non-small cell lung cancer.Patients and methodsStudy 208749 was a single-arm study of lete-cel alone. Study 208471 was a multiarm study of lete-cel alone o

Протеин внешней мембраны LipL21 как потенциальный кандидат против Leptospira interrogans: An in silico provision.

Резюме Leptospirosis one Из наиболее распространенных зоонотических заболеваний, вызванных лептоспирами, характерными для которых являются мягкие фебрильные заболевания и серьезные многоорганические сбои. Обычные вакцины против «Лептоспира» имеют ряд недостатков, включая краткосрочный иммунитет и защиту на основе «серовара». В настоящем исследовании основное внимание уделяется определению наиболее эффективного внешнего мембранного белка (ОМП) в качестве потенциального антигена с использованием различных вычислительных подходов к обеспечению защиты от лептоспироза, поскольку они сохраняются в п

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… Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions. Protein Sci. 2004;13:1402–6. doi: 10.1110/ps.03479604. 9. Hirokawa T, Boon-Chieng S, Mitaku S. …

FAST: быстрая, свободная, последовательная и неконтролируемая система сегментации и отслеживания олигодендроцитов.

Чтобы разработать репаративную терапию для неврологических расстройств, таких как множественный склероз (MS), нам нужно лучше понять физиологию потери и замены олигодендроцитов, клеток, которые делают миелин и являются объектом поражения в MS. В Vivo двухфотографическая флуоресцентная микроскопия позволяет непосредственно визуализировать олигодендроциты в нетронутом мозгу трансгенных моделей мыши, что позволяет глубже понять продольную динамику замены олигодендроцитов после повреждения. Однако задача отслеживания судьбы отдельных олигодендроцитов требует больших усилий для ручной аннотации и я

Real-world Data on Risk Factors for Emergency Department Visits to Treat Outpatient Chemotherapy-Associated Toxicities.

UNLABELLED: The Centers for Medicare & Medicaid Services Hospital Outpatient Quality Reporting Program's OP-35 rule penalizes health systems that have a higher-than-expected rate of emergency department (ED) visits or inpatient admissions for 10 potentially preventable conditions within 30 days of receiving chemotherapy. Identifying patients at risk for toxicities and resultant acute care could lead to reducing the rate of such events, improving patient care, and reducing costs. We identified patients with cancer seen in the ED at our institution between January 1, 2018, and December 31, 2021,

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… Additionally, two other machine learning models, random forest (RF) and support vector machines (SVM), were considered to classify a patient as having an event or not having an event. Training and test sets were split 70%/30%, respectively. …

Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies.

In (immune)oncology, virtual twins (VTs) offer patient-individual decision support. Nevertheless, current VTs do not incorporate the unique properties of engineered adoptive cellular immunotherapies (eACIs). Here, we outline the minimal design specifications for VTs for engineered ACIs (eACI-VTs) to model the complex interplay between cell product and patient physiology. We motivate utilizing VTs in eACIs to provide decision support and reflect on how eACI-VTs can support the widespread use of eACIs.

Роль NLRP3 испарения в нейродегенеративных и метаболических заболеваниях и в соответствующих перспективных терапевтических вмешательствах.

Инфламасомы представляют собой внутриклеточные мультипротеиновые комплексы в цитоплазме, которые регулируют воспаление во врожденной иммунной системе в ответ на патогены и на прием самопроизводственных молекул. Последние достижения значительно улучшили наше понимание активации нуклеотидно-обязательного олигомеризации домена-подобный рецептору (NLR) семейный пирин, содержащий 3 (NLRP3) воспаление на молекулярном уровне. NLRP3 принадлежит подсемейству NLRP, которая активирует Caspase 1, что приводит к производству провоспалительных цитокинов (interleukin) 1β и интерлейкин 18) и пироптоз. Это вос

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… For activity prediction, ML methods including the support vector machine (SVM) algorithm, random forest method, and Bayesian neural networks (BNN) have been employed in the analysis of biological activity of molecules. …

Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis.

BACKGROUND: The assessment and characterization of the gut microbiome has become a focus of research in the area of human autoimmune diseases. Ankylosing spondylitis is an inflammatory autoimmune disease and evidence showed that ankylosing spondylitis may be a microbiome-driven disease. RESULTS: To investigate the relationship between the gut microbiome and ankylosing spondylitis, a quantitative metagenomics study based on deep shotgun sequencing was performed, using gut microbial DNA from 211 Chinese individuals. A total of 23,709 genes and 12 metagenomic species were shown to be differentia

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… With the Matthews Correlation Coefficient (MCC) optimization selection and the Support Vector Machine (SVM), three classifiers were constructed (Online Methods) based on the three types of bio-markers (marker details in Additional file 1 : Table S13), and the receiver-operating characteristic (ROC) curves … vector machine Type 1 diabetes Type 2 diabetes Tumor necrosis factor. …

Conditional deletion of E11/podoplanin in bone protects against load-induced osteoarthritis.

BACKGROUND: Subchondral bone (SCB) thickening is one of the earliest detectable changes in osteoarthritic joints and is considered a potential trigger for subsequent articular cartilage degeneration. In this manuscript, we examine whether disruption to the SCB osteocyte network contributes to the initiation and pathogenesis of osteoarthritis. METHODS: We examined expression patterns of the glycoprotein E11/podoplanin by immunohistochemical labelling in murine, human and canine osteoarthritis models. We also examined the effects of twice-weekly administration of Bortezomib, a proteasome inhibi

Post-marketing safety of tarlatamab in small cell lung cancer based on FAERS and WHO-VigiAccess with SHAP-based interpretable machine learning analysis of immune-related adverse events.

BACKGROUND: Tarlatamab is a DLL3-targeted bispecific T-cell engager approved for previously treated extensive-stage small cell lung cancer (ES-SCLC). However, its post-marketing safety profile in routine practice remains incompletely characterized. METHODS: We conducted a retrospective pharmacovigilance study using the FDA Adverse Event Reporting System from Q2 2024 to Q3 2025, with a descriptive cross-database comparison using WHO-VigiAccess. Disproportionality analyses were performed using reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, an

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… This study utilized 13 commonly used supervised learning algorithms, including logistic regression, Lasso regression, discriminant analysis, support vector machine (SVM), random forest, gradient boosting, extreme gradient boosting (XGBoost), neural networks, Bayesian methods, and k-nearest neighbor algorithms …

Восстановление ТРНС последнего универсального общего пастора (Общества) на пути к восстановлению системы перевода Древних.

Реконструирование ансестральной последовательности (АСР) было использовано для изучения эволюции переводческой системы путем определения последовательности tRNA в "Last Archaeal Common Ancestor" (LACA), "Last Bacterial Common Ancestor" (LBCA) и "Last Universal Common Ansancestor" (LUCA), которые в наших предыдущих исследованиях назывались "Общество". Составное филогенетическое дерево, взятое из реконструированных последовательности ТРНА, выявило топологию, отличную от ранее выведенных аминоачил-тРНА синтетазы (АРС). Такая непоследовательность может отражать изменения в структурных особенностях

Eternal Youth: A Comprehensive Exploration of Gene, Cellular, and Pharmacological Anti-Aging Strategies.

The improvement of human living conditions has led to an increase in average life expectancy, creating a new social and medical problem-aging, which diminishes the overall quality of human life. The aging process of the body begins with the activation of effector signaling pathways of aging in cells, resulting in the loss of their normal functions and deleterious effects on the microenvironment. This, in turn, leads to chronic inflammation and similar transformations in neighboring cells. The cumulative retention of these senescent cells over a prolonged period results in the deterioration of

From Lab to Clinic: Success Stories of Repurposed Drugs in Treating Major Diseases.

Drug repurposing, the process of identifying new therapeutic uses for existing drugs, has emerged as a cost-effective and time-saving alternative to traditional drug development. This strategy leverages the known pharmacological and safety profiles of approved or investigational drugs to accelerate their clinical application for other diseases. In recent years, repurposed drugs have played a crucial role in addressing treatment gaps in complex and multifactorial diseases such as cancer, neurodegenerative disorders and infectious diseases. This review highlights prominent examples where repurpo

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… Furthermore, multiomics supports the development of predictive models, using ML methods like support vector machines (SVMs), random forests or neural networks, that can estimate various dimensions of drug response, including therapeutic efficacy, safety, toxicity, resistance, sensitivity, dosage and … vector machine. …

33rd Annual Meeting & Pre-Conference Programs of the Society for Immunotherapy of Cancer (SITC 2018) : Washington, D.C., USA. 7-11 November 2018.

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Astragaloside II, природный садонин, облегчает ремимиэлирование в демиэлинговых неврологических заболеваниях с помощью рецептора P75NTR, опосредованного осью сигнала β-катенина/Id2/MBP в клетках-прекурсорах олигодендроцитов.

КОЛИЧЕСТВО: Демиелинация является отличительной чертой неврологических расстройств, таких, как множественный склероз и оптика нейромиелита, что приводит к неврологическим расстройствам. Существующая терапия в первую очередь модифицирует иммунную реакцию, но не позволяет напрямую содействовать ремонту миелина. Расширение дифференциации олигодендроцитов и производства олигодендроцитов (ООП) имеет решающее значение для восстановления целостности миелина.ЦЕЛИ: В рамках этого исследования изучался терапевтический потенциал астрагалосида II (AS-II), биоактивного садонина с нейрозащитными и продиффер