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От прогнозирования к вмешательству: Искусственный интеллект для адаптивного реагирования и моделирования токсичности в клеточной терапии для гематологовых злодеяний.

Гематологическая магнелезность, включая острую лейкемию миэлоида, миэлодипластические синдромы, лимфому и множественную миелому, характеризуется глубокой биологической гетерогенностью и высокодинамичными траекториями лечения, которые традиционные статические прогнозирующие системы неполно улавливают. Клеточная терапия, такая, как химерик антигенная рецепторная терапия Т-клеток и трансплантация стволовых клеток с гематополией, предлагает потенциально лечебные варианты для рецидива или рефракторного заболевания, однако результаты остаются весьма различными, а управленческие решения, касающиеся и

Совпадение в полном тексте источника
… Recurrent neural networks (RNNs), particularly long short-term memory (LSTM) architectures, are well suited for processing sequential clinical data with irregular time intervals, as commonly encountered in electronic health records [ 17 , 35 ]. …

An Overview of Advances in Rare Cancer Diagnosis and Treatment.

Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct subtypes characterized by infrequent incidence. Despite the inherent challenges in addressing the diagnosis and treatment of rare cancers due to their low occurrence rates, several biomedical breakthroughs have led to significant advancement in both areas. This review provides a comprehensive overview of state-of-the-art diagnostic techniques that encompass new-generation sequencing and multi-omics, coupled with the integration of artificial intelligence and machine learning, that have revolutioniz

The Potential of Chronotherapy and Nanotherapy-Based Strategies for Glioblastoma Treatment.

Glioblastoma is the most common and aggressive brain tumour in adults, and despite ongoing efforts, effective treatment remains limited. Standard therapies often face challenges because of the tumour's specific biology, its aggressive nature, and the presence of certain physiological barriers in the brain that impede chemotherapeutics from reaching their target. Emerging research in circadian biology highlights the role of the internal circadian clock in tumour progression and treatment response. Evidence suggests that aligning therapy to patients' chronotypes could potentially improve treatme

Mesenchymal stromal cells for bone sarcoma treatment: Roadmap to clinical practice.

Over the past few decades, there has been growing interest in understanding the molecular mechanisms of cancer pathogenesis and progression, as it is still associated with high morbidity and mortality. Current management of large bone sarcomas typically includes the complex therapeutic approach of limb salvage or sacrifice combined with pre- and postoperative multidrug chemotherapy and/or radiotherapy, and is still associated with high recurrence rates. The development of cellular strategies against specific characteristics of tumour cells appears to be promising, as they can target cancer cel

Exploring the Molecular Mechanisms by Which DEHP Promotes the Occurrence and Progression of Kidney Stones Based on Network Toxicology and Experimental Validation.

BACKGROUND: The global burden of kidney stones is increasing, while di(2-ethylhexyl) phthalate (DEHP), a widespread plasticizer and endocrine-disrupting pollutant, has been implicated as a potential environmental risk factor. This study investigated the mechanisms by which DEHP may aggravate calcium oxalate kidney stones through network toxicology, computational analyses, and experimental validation. METHODS: DEHP- and kidney stone-related targets were retrieved from six databases. Shared targets were analyzed using protein-protein interaction networks and Gene Ontology and Kyoto Encyclopedia

The anti-inflammatory effects of mesenchymal stem cells and their research progress in hematopoietic stem cell transplantation: A comprehensive review.

Hematopoietic stem cell transplantation (HSCT) is frequently accompanied by severe inflammation-related complications, among which graft-versus-host disease (GVHD) stands out as one of the most common and life-threatening. As a systemic inflammatory disorder, GVHD arises when donor T cells recognize the recipient's alloantigens and initiate an immune attack. Currently, effective second-line treatment options remain scarce for patients with antibiotic-resistant or steroid-refractory GVHD. Mesenchymal stem cells (MSCs) are non-hematopoietic cells widely distributed in fetal and adult tissues and

Immunodiagnosis - the promise of personalized immunotherapy.

Immunotherapy showed remarkable efficacy in several cancer types. However, the majority of patients do not benefit from immunotherapy. Evaluating tumor heterogeneity and immune status before treatment is key to identifying patients that are more likely to respond to immunotherapy. Demographic characteristics (such as sex, age, and race), immune status, and specific biomarkers all contribute to response to immunotherapy. A comprehensive immunodiagnostic model integrating all these three dimensions by artificial intelligence would provide valuable information for predicting treatment response. H

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… Deep Learning (DL) and Artificial Neural Networks represent new frontiers in ML that encompass Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). …

Автоматическое отслеживание активного движения в многоразовом склерозе с использованием неконтролируемого машинного обучения

Справочная информация: Выявление активных повреждений в магнитно-резонансной съемке (MRI) имеет решающее значение для диагностики и планирования лечения множественных склерозов (MS). Активные повреждения МРТ выявляются после применения противопоказательных агентов на основе гадолиния (ГБЦА). Однако недавние исследования показали, что неоднократное применение ГБЦН приводит к накоплению ГД в тканях. Кроме того, администрация ГБКА увеличивает расходы на медицинское обслуживание. Таким образом, для повышения безопасности пациентов и снижения расходов на медицинское обслуживание важное значение име

Mapping the research trends and hotspots on solid pulmonary nodules from 2000-2024: insights from bibliometric analysis.

BackgroundDue to extensive low-dose computed tomography (CT) screening, the detection rate of solid pulmonary nodules (PNs) is constantly rising. However, existing studies lack a comprehensive understanding of its emerging research trends and interdisciplinary progress, especially in terms of artificial intelligence (AI) integration and molecular characteristics. In this study, we conduct a comprehensive bibliometric analysis to clarify the current research trends and predict future research hotspots in this field, in order to improve diagnostic accuracy, reduce overtreatment, and promote inno

Identification of markers of prostate cancer progression using candidate gene expression.

BackgroundMetastatic prostate cancer (PCa) has no curative treatment options. Some forms of PCa are indolent and slow growing, while others metastasise quickly and may prove fatal within a very short time. The basis of this variable prognosis is poorly understood, despite considerable research. The aim of this study was to identify markers associated with the progression of PCa.MethodsArtificial neuronal network analysis combined with data from literature and previous work produced a panel of putative PCa progression markers, which were used in a transcriptomic analysis of 29 radical prostatec

Neuroscience in peripheral cancers: tumors hijacking nerves and neuroimmune crosstalk.

Cancer neuroscience is an emerging field that investigates the intricate relationship between the nervous system and cancer, gaining increasing recognition for its importance. The central nervous system governs the development of the nervous system and directly affects brain tumors, and the peripheral nervous system (PNS) shapes the tumor microenvironment (TME) of peripheral tumors. Both systems are crucial in cancer initiation and progression, with recent studies revealing a more intricate role of the PNS within the TME. Tumors not only invade nerves but also persuade them through remodeling

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

Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer.

Cancer is defined as a large group of diseases that is associated with abnormal cell growth, uncontrollable cell division, and may tend to impinge on other tissues of the body by different mechanisms through metastasis. What makes cancer so important is that the cancer incidence rate is growing worldwide which can have major health, economic, and even social impacts on both patients and the governments. Thereby, the early cancer prognosis, diagnosis, and treatment can play a crucial role at the front line of combating cancer. The onset and progression of cancer can occur under the influence of

The Potential and Prospects of Marine Drugs in Intervening Nerve-Tumor Crosstalk.

The bidirectional crosstalk between the nervous system and tumors has emerged as a transformative new frontier in both precision oncotherapy and mechanism-driven cancer pain management. Marine natural products with inherent neuroactive properties exhibit unparalleled intervention advantages for targeting this complex pathophysiological axis. Herein, we systematically and prospectively dissect the multi-layered bidirectional communication between the nervous system and malignancies, comprehensively summarize the pivotal contributions of marine-derived bioactive molecules to advances in neurosci

Mesenchymal stem cell transplantation plays a role in relieving cancer pain.

Tumors can invade, compress, and damage nerves, leading to persistent pain and seriously affecting the quality of life of patients. However, their treatment is challenging. Sensitization of peripheral receptors, abnormal activity of primary sensory neurons, activation of glial cells, enhanced inflammatory responses, and sensory information transmission contribute towards cancer pain. Therefore, considerable attention has been paid to exploring prospective methods to inhibit the occurrence of these factors and relieve cancer pain. Studies on different types of pains have revealed that the trans

Sympathetic nervous system in tumor progression and metabolic regulation: mechanisms and clinical potential.

Tumor progression is characterized by profound metabolic alterations and dynamic interactions within the tumor microenvironment (TME), which enable rapid proliferation, immunoinvasion, and metastasis. The sympathetic nervous system (SNS), which has been best known for its role in stress regulation, has emerged as a critical regulator of tumor metabolism. The SNS influences glucose, lipid and glutamine metabolism in tumor cells and stromal components by releasing neurotransmitters such as norepinephrine (NE), creating a pro-tumor metabolic and immunosuppressive microenvironment. SNS signaling e

Application of Dynamic Enhanced Magnetic Resonance Imaging in the Diagnosis of Hematological Malignancies.

The use of dynamic enhanced magnetic resonance imaging technology can effectively explore the diagnosis and clinical application of hematological malignancies. This paper selected 60 patients with hematological malignancies from 2015 to 2019; all of whom were diagnosed with hematological malignancies, including 40 men and 20 women, aged between 40 and 77 years. The main clinical manifestations of the patient are hematological malignancies, fever, and other symptoms. We used Siemens 3.0T to perform MRI and dynamic enhanced MRI examinations on 30 patients with hematological tumors. The PACS syst

A Systematic Review of Machine Learning Techniques in Hematopoietic Stem Cell Transplantation (HSCT).

Machine learning techniques are widely used nowadays in the healthcare domain for the diagnosis, prognosis, and treatment of diseases. These techniques have applications in the field of hematopoietic cell transplantation (HCT), which is a potentially curative therapy for hematological malignancies. Herein, a systematic review of the application of machine learning (ML) techniques in the HCT setting was conducted. We examined the type of data streams included, specific ML techniques used, and type of clinical outcomes measured. A systematic review of English articles using PubMed, Scopus, Web o

The future of NMR metabolomics in cancer therapy: towards personalizing treatment and developing targeted drugs?

There has been a recent shift in how cancers are defined, where tumors are no longer simply classified by their tissue origin, but also by their molecular characteristics. Furthermore, personalized medicine has become a popular term and it could start to play an important role in future medical care. However, today, a "one size fits all" approach is still the most common form of cancer treatment. In this mini-review paper, we report on the role of nuclear magnetic resonance (NMR) metabolomics in drug development and in personalized medicine. NMR spectroscopy has successfully been used to evalu

Multiple myeloma segmentation net (MMNet): an encoder-decoder-based deep multiscale feature fusion model for multiple myeloma segmentation in magnetic resonance imaging.

BackgroundPatients with multiple myeloma (MM), a malignant disease involving bone marrow plasma cells, shows significant susceptibility to bone degradation, impairing normal hematopoietic function. The accurate and effective segmentation of MM lesion areas is crucial for the early detection and diagnosis of myeloma. However, the presence of complex shape variations, boundary ambiguities, and multiscale lesion areas, ranging from punctate lesions to extensive bone damage, presents a formidable challenge in achieving precise segmentation. This study thus aimed to develop a more accurate and robu