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Early detection of sporadic pancreatic cancer: summative review.

Pancreatic cancer (PC) is estimated to become the second leading cause of cancer death in the United States by 2020. Early detection is the key to improving survival in PC. Addressing this urgent need, the Kenner Family Research Fund conducted the inaugural Early Detection of Sporadic Pancreatic Cancer Summit Conference in 2014 in conjunction with the 45th Anniversary Meeting of the American Pancreatic Association and Japan Pancreas Society. This seminal convening of international representatives from science, practice, and clinical research was designed to facilitate challenging interdiscipli

Revisiting the standards of cancer detection and therapy alongside their comparison to modern methods.

In accordance with the World Health Organization data, cancer remains at the forefront of fatal diseases. An upward trend in cancer incidence and mortality has been observed globally, emphasizing that efforts in developing detection and treatment methods should continue. The diagnostic path typically begins with learning the medical history of a patient; this is followed by basic blood tests and imaging tests to indicate where cancer may be located to schedule a needle biopsy. Prompt initiation of diagnosis is crucial since delayed cancer detection entails higher costs of treatment and hospita

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… 10.25122/jml-2019-0169 PMC7803303 15 Wilkinson AN Cancer diagnosis in primary care: Six steps to reducing the diagnostic interval Can Fam Physician 2021 67 265 268 33853914 10.46747/cfp.6704265 PMC8324147 16 Dabeer S Khan MM Islam S Cancer diagnosis in histopathological image: CNN based approach Informatics …

Targeted Protein Degradation in Cancer: PROTACs, New Targets, and Clinical Mechanisms.

The onset of proteolysis targeting chimeras (PROTACs) has reshaped the entire context of targeted cancer therapy by offering a novel approach for the selective degradation of disease-causing proteins, overcoming the limitations of traditional occupancy-driven inhibition. This heterobifunctional technology recruits endogenous E3 ubiquitin ligases to mark proteins of interest (POI) for proteosomal degradation via the ubiquitin-proteasome system (UPS). Unlike conventional inhibitors, PROTACs function catalytically and can target previously "undruggable proteins", such as transcription factors, sc

Anticancer Molecular Mechanisms of Curcuminoids: An Updated Review of Clinical Trials.

Curcuminoids are bioactive polyphenols, mainly extracted from Curcuma longa (turmeric), and have received much attention due to their pleiotropic anticancer properties. Recent evidence suggests that curcumin and analogs prevent the activation of a variety of signaling pathways, including the MAPK, PI3K/Akt, and NF-kB pathways, resulting in the induction of apoptosis, prevention of proliferation, and suppression. In addition to these processes, curcumin has been shown to enhance the efficacy of the conventional anti-cancer modalities such as radiation and chemotherapy. By suppressing the expres

Виром ДНК связан с аутоиммунными заболеваниями и COVID-19.

Аберрантная иммунная реакция на вирусные патогены способствует патогенезу, но наше понимание патологических иммунных реакций, вызванных вирусами в вироме человека, особенно в масштабе населения, остается ограниченным. Мы проанализировали наборы данных о последовательности целых генов 6,321 Японцы, включая пациентов с аутоиммунными заболеваниями (псориаз вульгарис, ревматоидный артрит (RA), системный волшебный эритематос (SLE), легочный альвеолярный протеиноз (PAP) или множественный склероз) и коронавирусное заболевание 2019 (В тыс.COVID-19) или здоровый контроль. Систематическая количественная

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… Also, we used the genomic DNA of 295 patients with PV and 429 healthy controls obtained from EBV-transformed B-lymphoblast cell lines of unrelated Japanese individuals established by the Japan Biological Informatics Consortium (JBIC) 54 . …

Advancing patient-centered cancer care: a systematic review of electronic patient-reported outcome measures.

BackgroundElectronic Patient-Reported Outcome Measures (ePROMs) have emerged as valuable tools in cancer care, facilitating the comprehensive assessment of patients' physical, psychological, and social well-being. This study synthesizes literature on the utilization of ePROMs in oncology, highlighting the diverse array of measurement instruments and questionnaires employed in cancer patient assessments. By comprehensively analyzing existing research, this study provides insights into the landscape of ePROMs, informs future research directions, and aims to optimize patient-centred oncology care

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… terminology criteria, clinical alerts, health equity, perspective, experiences, and perception, data and machine learning, models, associations, not related and not cancer, editorial, biology, telemedicine, ethical principles, wearables, gamification, system design and technical innovations, oncology informatics …

A review on machine learning approaches and trends in drug discovery.

Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approac … t years of research. Analyzing the state of the art in this field will give us an idea of where cheminformatics will be developed in the short term, the limitations it presents and the positive results it has achieved. This review will focus mainly on the methods used to model the molecular data, as well as the biological problems addressed and the Machine Le …

Intelligence Architectures and Machine Learning Applications in Contemporary Spine Care.

The rapid evolution of artificial intelligence (AI) and machine learning (ML) technologies has initiated a paradigm shift in contemporary spine care. This narrative review synthesizes advances across imaging-based diagnostics, surgical planning, genomic risk stratification, and post-operative outcome prediction. We critically assess high-performing AI tools, such as convolutional neural networks for vertebral fracture detection, robotic guidance platforms like Mazor X and ExcelsiusGPS, and deep learning-based morphometric analysis systems. In parallel, we examine the emergence of ambient clini

Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

BACKGROUND: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with e

Резюме докладов 53rd Конференция Европейского общества генетики человека: интерактивные электронные постеры.

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… Institute of Medical Genetics, Third Faculty of Medicicne, Charles University, Prague, Czech Republic, 4 Department of Medical Genetics, Pronatal Sanatorium, Prague, Czech Republic, 5 Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic, 6 Institute of Biophysics and Informatics … Horsthemke 1,5 1 Institute of Human Genetics, University Hospital Essen, Essen, Germany, 2 Centre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany, 3 Institute of Medical Informatics, University Münster, Münster, Germany, 4 Centre of Reproductive Medicine and Andrology …

Some Aspects and Convergence of Human and Veterinary Drug Repositioning.

Drug innovation traditionally follows a de novo approach with new molecules through a complex preclinical and clinical pathway. In addition to this strategy, drug repositioning has also become an important complementary approach, which can be shorter, cheaper, and less risky. This review provides an overview of drug innovation in both human and veterinary medicine, with a focus on drug repositioning. The evolution of drug repositioning and the effectiveness of this approach are presented, including the growing role of data science and computational modeling methods in identifying drugs with po

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… CADD and Informatics in Drug Discovery. Springer Nature; Singapore: 2023. pp. 253–281. 60. Gan J., Liu J., Liu Y., Chen S., Dai W., Xiao Z.-X., Cao Y. DrugRep: An Automatic Virtual Screening Server for Drug Repurposing. Acta Pharmacol. Sin. 2023;44:888–896. doi: 10.1038/s41401-022-00996-2. 61. …

PIWI-interacting RNAs (PiRNAs) as emerging biomarkers and therapeutic targets in biliary tract cancers: A comprehensive review.

Cancers affecting the biliary tract, such as gallbladder cancer and cholangiocarcinoma, make up a small percentage of adult gastrointestinal malignancies, but their incidence is on the rise. Due to the lack of dependable molecular biomarkers for diagnosis and prognosis, these cancers are often not detected until later stages and have limited treatment options. Piwi-interacting RNAs (piRNAs) are a type of small noncoding RNA that interacts with Piwi proteins and has been linked to various diseases, especially cancer. Manipulation of piRNA expression has the potential to serve as an important bi

ESICM LIVES 2016: part three : Milan, Italy. 1–5 October 2016

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Double jeopardy: how BRCA2, TP53, and DNMT3A redefine the link between infertility and cancer risk.

BackgroundGermline mutations in genes governing DNA repair, cell cycle regulation, and epigenetic modification are now recognized as common etiological factors for both cancer predisposition and reproductive dysfunction. This reveals a profound intersection between reproductive biology and oncogenesis.MethodA systematic narrative review was conducted. The literature search spanned PubMed/MEDLINE, Scopus, and Web of Science using keywords and MeSH terms related to infertility phenotypes, cancer predisposition syndromes, and shared molecular mechanisms (e.g., DNA repair, epigenetics).OutcomesThe

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… Reported mouse models with reproductive male phenotype and predisposition to cancer were based on the Mouse Genome Informatics database ( https://www.informatics.jax.org/ ). …

Computational proteomics to enhance personalized treatment of COVID-19 and Long COVID.

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to signifi … and pinpoint therapeutic targets for both acute infection and persistent symptoms. Combined with bioinformatics and machine learning, these proteomic insights support biomarker discovery and drug repurposing strategies.

CRISPR-Cas9 Therapeutics in Early Clinical Development: Delivery and Molecular Diagnostics.

CRISPR-Cas9 has progressed from an experimental tool to a therapeutic modality, marked by the first regulatory approvals of an ex vivo-edited autologous CD34+ hematopoietic stem cell product that induces fetal hemoglobin (CASGEVY/exa-cel). In this narrative review, we synthesize modality-specific molecular diagnostic strategies used across early CRISPR clinical translation. In parallel, early clinical experience has begun to demonstrate the feasibility of in vivo editing, including subretinal delivery for CEP290-associated inherited retinal degeneration (EDIT-101 programme) and hepatocyte-targ

Exploiting artificial intelligence in precision oncology: an updated comprehensive review.

Precision oncology considers the genetic makeup of both the tumor and the cancer patient, medical history, clinical metadata, lifestyle and environmental factors. Thus, adoption of precision cancer medicine mandates sophisticated integrative analysis. Being a master in sorting and solving the puzzle pieces, artificial intelligence (AI)-powered frameworks emerged to fill the gap via executing multimodal analysis and generating meaningful outputs. Herein, we systematically discussed the opportunities and challenges of exploiting AI-assisted models in preclinical cancer research and in clinical o

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… biorender software Since cancer cells depend on multiple driver alterations whose oncogenic effects can be abrogated using combination regimens, Li and colleagues developed a comprehensive resource called “Recurrent Features Leveraged for Combination Therapy (REFLECT)” which integrated ML and cancer informatics …

Алгоритмы машинного обучения для виртуального раннего обнаружения и выявления нейродегенеративных и нейрокогнитивных расстройств: систематический обзор.

Происхождение и аналоговые расстройства (например, болезнь Альцгеймера, болезнь Паркинсона) приводят к нейронной потере; нейрокогнитивные расстройства (например, бред, слабоумие) свидетельствуют о когнитивном упадке. Раннее обнаружение имеет решающее значение для эффективного управления. Машинное обучение помогает в более точном выявлении заболеваний, потенциально преобразуя медицинское обслуживание. В рамках этого всеобъемлющего систематического обзора обсуждается вопрос о том, каким образом машинное обучение (ML) может способствовать раннему выявлению этих расстройств, превосходя при этом тр

The role of social, economic, and medical marginalization in cancer clinical trial participation inequities: A systematic review.

Extant literature reveals how patients of marginalized social identities, socioeconomic status (SES), and medical experiences - especially patients of color and older adults - are underrepresented in cancer clinical trials (CCTs). Emerging evidence increasingly indicates CCT underrepresentation among patients of lower SES or rural origin, sexual and gender minorities, and patients with comorbid disability. This review applies an intersectional perspective to characterizing CCT representativeness across race and ethnicity, age, sexual and gender identity, SES, and disability. Four databases wer

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… database ClinicalTrials.gov (2003–2016) SEER (2013) Race/ethnicity Sex EF Race/ethnicity reporting Time period (1996–2002, 2003–2016) Race/ethnicity reporting Time period (1996–2002, 2003–2016) Chi-square tests Earl et al. 2023 Case-control study Archival database Huntsman Cancer Institute (HCI) Research Informatics …

42nd International Symposium on Intensive Care & Emergency Medicine

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