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Mortality prediction and influencing factors for intensive care unit patients with acute tubular necrosis: random survival forest and cox regression analysis.

Background: Patients with acute tubular necrosis (ATN) not only have severe renal failure, but also have many comorbidities, which can be life-threatening and require timely treatment. Identifying the influencing factors of ATN and taking appropriate interventions can effectively shorten the duration of the disease to reduce mortality and improve patient prognosis. Methods: Mortality prediction models were constructed by using the random survival forest (RSF) algorithm and the Cox regression. Next, the performance of both models was assessed by the out-of-bag (OOB) error rate, the integrated b

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… Machine learning-based CT radiomics analysis for prognostic prediction in metastatic non-small cell lung cancer patients with EGFR-t790m mutation receiving third-generation EGFR-TKI osimertinib treatment . Front. Oncol. 11 , 719919 . 10.3389/fonc.2021.719919 34660285 PMC8511497 Tapak L. Sheikh V. …

Cardiotoxicity Induced by Anticancer Therapies: A Call for Integrated Cardio-Oncology Practice.

The introduction of novel oncologic therapies, including targeted agents, immunotherapies, and antibody-drug conjugates, has transformed the therapeutic landscape of cancer care. This evolution has resulted in a dual clinical scenario; while survival outcomes have markedly improved, leading to a growing population of long-term cancer survivors, an increasing incidence of previously unrecognized treatment-related toxicities has emerged. Among these, cardiovascular adverse events represent some of the most prevalent and clinically significant complications observed in both conventional chemother

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… Finally, there is growing interest in applying omics sciences, particularly radiomics, to the assessment of cancer-therapy-related cardiac dysfunction. …

The 4th Global Congress on Sickle Cell Disease Abstract Book 2022

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… Results: Six European SCD centers participated in this first phase of the Radiomics project with 501 MRIs: 225 were classified as abnormal by the local neuroradiologists due to presence of SCI, 275 were normal; 70% were pediatric MRIs. … Radiomics and AI offer the opportunity to seize the potential of big datasets analysis to optimize diagnostic in SCD. SCI can be detected automatically from different datasets. …

Integrated genomic and clinical modeling for prognostic assessment of radiotherapy response in rectal neoplasms.

The aim of this study is to develop a prognostic model for evaluating radiotherapy response in patients diagnosed with rectal neoplasms by integrating genomic and clinical data. Publicly accessible datasets from The Cancer Genome Atlas and Gene Expression Omnibus were analyzed to identify differentially expressed genes associated with drug resistance and mitophagy. Functional enrichment analyses were conducted to investigate relevant biological pathways. A prognostic risk model was constructed using least absolute shrinkage and selection operator regression and validated via receiver operating

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… Radiomics and machine learning applications in rectal cancer: current update and future perspectives. World J Gastroenterol. 2021;27:5306–21. doi: 10.3748/wjg.v27.i32.5306. 42. Ferrando L, Cirmena G, Garuti A, Scabini S, Grillo F, Mastracci L, et al. …

Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma.

Multiple myeloma management requires a balance between maximizing survival, minimizing adverse events to therapy, and monitoring disease progression. While previous work has proposed data-driven models for individual tasks, these approaches fail to provide a holistic view of a patient's disease state, limiting their utility to assist physician decision-making. To address this limitation, we developed a transformer-based machine learning model that jointly (1) predicts progression-free survival (PFS), overall survival (OS), and adverse events (AE), (2) forecasts key disease biomarkers, and (3)

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… Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including fdg-pet radiomics: a combined analysis of two independent prospective European trials. Eur. J. Nucl. Med. Mol. Imaging 48 , 1005–1015 (2021). 10.1007/s00259-020-05049-6 18. …

Diagnostic and prognostic value of cardiac imaging in amyloidosis.

Amyloidosis is an infiltrative disease caused by extracellular protein deposition that has accumulated a lot of scientific production in recent years. Different types of amyloidosis can affect the heart. Transthyretin amyloidosis and light chain amyloidosis are the two most common types of cardiac amyloidosis. These entities have a poor prognosis, so accurate diagnostic techniques are imperative for determining an early therapeutic approach. Recent advances in cardiac imaging and diagnostic strategies show that these tools are safe and can avoid the use of invasive diagnostic techniques to his

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… The machine learning-based radiomics technique has been studied in different imaging tools (TTE, CCT, CMR and scintigraphy) with high diagnostic precision in acute myocardial infarction, HCM and RV abnormalities. However, the data about its applicability in the diagnosis of CA are limited. …

Резюме книги: Тема: 13th Международный симпозиум на тему " Ходжкин лимфома " ; октябрь 2024

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Why Is Wnt/β-Catenin Not Yet Targeted in Routine Cancer Care?

Despite significant progress in cancer prevention, screening, and treatment, the still limited number of therapeutic options is an obstacle towards increasing the cancer cure rate. In recent years, many efforts were put forth to develop therapeutics that selectively target different components of the oncogenic Wnt/β-catenin signaling pathway. These include small molecule inhibitors, antibodies, and more recently, gene-based approaches. Although some of them showed promising outcomes in clinical trials, the Wnt/β-catenin pathway is still not targeted in routine clinical practice for cancer mana

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… For cancer profiling, multiplexing technologies (e.g., high throughput “omics”: genomics, transcriptomics, proteomics, metabolomics, radiomics, and immunomics) could be combined with functional tests and with digital technologies (e.g., machine learning and artificial intelligence) [ 315 , 316 , 317 …

Функциональные и структурные изменения в педиатрическом многоразовом склерозе: системный обзор и предварительный анализ динамики активности, оценка функциональной магнитной резонансы, воображающая мета-анализ.

Педиатрический множественный склероз (MS) представляет собой редкое и сложное нервно-воспалительное заболевание, характеризующееся демиелинизацией и неврологической дисфункцией у лиц в возрасте до 18 лет. Цель этого систематического обзора и оценки вероятности активации (ALE) метаанализа заключалась в обобщении существующей литературы о функциональных и структурных изменениях мозга у пациентов педиатрии MS. МЕТОДЫ: В соответствии с руководящими принципами ПРИСМА мы проанализировали 21 исследование с участием 917 пациентов педиатрии MS и 320 здоровых методов контроля, оценивая структуру и функц

TACC3, correlated with immune cell infiltrates, is a novel prognostic biomarker in BRCA.

Transforming acidic coiled-coil-containing protein 3 (TACC3) plays a crucial oncogenic role in various carcinomas and may act as a novel prognostic factor. However, its prognostic significance and underlying mechanisms in breast cancer (BRCA) remain unclear and require further investigation. This research included 181 breast cancer tissues, and the expression levels of TACC3 were analyzed by immunohistochemistry staining and grading. The mRNA expression of TACC3 in pan-cancer was analyzed with The Cancer Genome Atlas data platform. Receiver operating characteristic curve analysis assessed TACC

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… Radiomics in breast cancer: current advances and future directions. Cell Rep Med . 2024 ; 5 : 101719 . 39293402 10.1016/j.xcrm.2024.101719 PMC11528234 [10] Agostinetto E Curigliano G Piccart M . Emerging treatments in HER2-positive advanced breast cancer: keep raising the bar. …

Pharmacogenomics and Big Data in medical oncology: developments and challenges.

Medical oncology, through conventional chemotherapy as well as targeted drugs, remains an important component of cancer patient management, particularly for systemic disease. Despite advances in all areas of medical oncology, certain challenges persist in the form of drug resistance and severe normal tissue toxicity. These unwanted effects can be counteracted through a patient-tailored treatment approach, which in chemotherapy is translated as pharmacogenomics. This research field investigates the way genetic makeup influences a patient's response to various drugs with the aim to minimize tria

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… While radiomics shows potential in treatment response monitoring and outcome prediction, pharmacogenomics shows prospects in the management of chemotherapy-related side effects through better correlation between the patients’ genome and optimal choice of drug type and dosage. …

Long Noncoding RNA 00472: A Novel Biomarker in Human Diseases.

Long non-coding RNAs (lncRNAs) play important roles in human diseases. They control gene expression levels and influence various biological processes through multiple mechanisms. Functional abnormalities in lncRNAs are strongly associated with occurrence and development of various diseases. LINC00472, which is located on chromosome 6q13, is involved in several human diseases, particularly cancers of the breast, lung, liver, osteosarcoma, bladder, colorectal, ovarian, pancreatic and stomach. Importantly, LINC00472 can be used as a biomarker for breast cancer cell sensitivity to chemotherapeutic

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… Considerable Effects of Imaging Sequences, Feature Extraction, Feature Selection, and Classifiers on Radiomics-Based Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Magnetic Resonance Imaging . Quant Imaging Med. …

Harnessing the tumor microenvironment: targeted cancer therapies through modulation of epithelial-mesenchymal transition.

The tumor microenvironment (TME) is integral to cancer progression, impacting metastasis and treatment response. It consists of diverse cell types, extracellular matrix components, and signaling molecules that interact to promote tumor growth and therapeutic resistance. Elucidating the intricate interactions between cancer cells and the TME is crucial in understanding cancer progression and therapeutic challenges. A critical process induced by TME signaling is the epithelial-mesenchymal transition (EMT), wherein epithelial cells acquire mesenchymal traits, which enhance their motility and inva

A Holistic Review of Oncological Drug Targets and Trajectories of Resistance in Cancer Therapy.

The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy. Substantial therapeutic benefits in cancer therapy have been achieved by the integration of conventional treatments with molecular biosciences and omics technologies. Human epidermal growth factor receptor, hormone receptors, and angiogenesis factors are among the established therapies in tumor reduction and managing side effects. Novel targeted therapies like KRAS G12C, Claudin-18 isoform 2 (CLDN18.2), Trophoblast cell-surface antigen 2 (TROP2), and epigenetic r

2021 International Cancer Education Conference Program and Abstracts.

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A comprehensive prognostic score for head and neck squamous cancer driver genes and phenotype traits.

BackgroundHead and neck squamous cancer (HNSCC) presents variable phenotype and progression features. Clinically applicable, high-accuracy multifactorial prognostic models for HNSCC survival outcomes are warranted and an active area of research. This study aimed to construct a comprehensive prognostic tool for HNSCC overall survival by integrating cancer driver genes with tumor clinical and phenotype information.MethodsKey overall survival-related cancer driver genes were screened from among main effector and reciprocal gene pairs using TCGA data using univariate Cox proportional hazard regres

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… Application of radiomics and machine learning in head and neck cancers. Int J Biol Sci. 2021;17(2):475–486. doi: 10.7150/ijbs.55716. 34. Alabi RO, Youssef O, Pirinen M, Elmusrati M, Mäkitie AA, Leivo I, et al. …

The current status of prostate cancer treatment and PSMA theranostics.

In the treatment of cancer, understanding the disease status, or accurate staging, is extremely important, and various imaging techniques are used. Computed tomography (CT), magnetic resonance imaging, and scintigrams are commonly used for solid tumors, and advances in these technologies have improved the accuracy of diagnosis. In the clinical practice of prostate cancer, CT and bone scans have been considered especially important for detecting metastases. Nowadays, CT and bone scans are called conventional methods because positron emission tomography (PET), especially prostate-specific membra

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… Radiomics and theranostics with molecular and metabolic probes in prostate cancer: toward a personalized approach . Expert Rev Mol Diagn 2023 ; 23 : 243 – 255 . 36927210 10.1080/14737159.2023.2192351 41 Filippi L Chiaravalloti A Schillaci O , et al . …

Allogeneic Stem Cell Transplantation in Multiple Myeloma.

The development of new inhibitory and immunological agents and combination therapies significantly improved response rates and survival of patients diagnosed with multiple myeloma (MM) in the last decade, but the disease is still considered to be incurable by current standards and the prognosis is dismal especially in high-risk groups and in relapsed and/or refractory patients. Allogeneic hematopoietic stem cell transplantation (allo-SCT) may enable long-term survival and even cure for individual patients via an immune-mediated graft-versus-myeloma (GvM) effect, but remains controversial due t

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… Due to the heterogeneity of the disease, various patient- and disease-specific factors have to be considered in the study design like R-ISS-criteria, especially certain genetic markers, radiomics and response evaluation including MRD-assessment [ 99 ], to identify those HR patients that may benefit most …

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

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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