Search results for "Personalized"

showing 10 items of 165 documents

Internet-based learning environments for project-enhanced science learning

2002

Blended learningPedagogyEducational technologyCollaborative learningOpen learningPersonalized learningPsychologyExperiential learningLearning sciencesComputer Science ApplicationsEducationSynchronous learningJournal of Computer Assisted Learning
researchProduct

miRNAs and their potential for use against cancer and other diseases

2007

miRNAs are 19–24 nucleotide long noncoding RNAs found in almost all genetically dissected species, including viruses, plants, nematodes, flies, fish, mice and humans. Rapid advances have been made in understanding their physiological functions, while abnormal patterns of miRNA expression have been found in many disease states, most notably human cancer. It is now clear that miRNAs represent a class of genes with a great potential for use in diagnosis, prognosis and therapy. In this review we will focus on the discoveries that elucidate their crucial role in mammalian diseases, particularly in cancer, and propose that miRNA-based gene therapy might become the potential technology of choice …

Cancer ResearchGenetic enhancementGenetic TherapyGeneral MedicineDiseaseComputational biologyBiologyPrognosisBioinformaticsMicroRNAsOncologyMirna expressionNeoplasmsmicroRNAAnimalsHumansPersonalized therapyGeneHuman cancerFuture Oncology
researchProduct

Translation of genomics-guided RNA-based personalised cancer vaccines: towards the bedside

2014

Cancer is a disease caused by DNA mutations. Cancer therapies targeting defined functional mutations have shown clinical benefit. However, as 95% of the mutations in a tumour are unique to that single patient and only a small number of mutations are shared between patients, the addressed medical need is modest. A rapidly determined patient-specific tumour mutation pattern combined with a flexible mutation-targeting drug platform could generate a mutation-targeting individualised therapy, which would benefit each single patient. Next-generation sequencing enables the rapid identification of somatic mutations in individual tumours (the mutanome). Immunoinformatics enables predictions of mutat…

Cancer ResearchMutationbusiness.industryGenetic enhancementDrug Evaluation PreclinicalCancerGenomicsmedicine.diseasePrecision medicinemedicine.disease_causeBioinformaticsCancer VaccinesTranslational Research BiomedicalBreast cancerOncologyImmunologyMutationMedicineHumansPersonalized medicineCancer vaccineMinireviewRNA NeoplasmPrecision MedicinebusinessBritish Journal of Cancer
researchProduct

Recommendations from the iSBTc-SITC/FDA/NCI Workshop on Immunotherapy Biomarkers

2011

Abstract Purpose: To facilitate development of innovative immunotherapy approaches, especially for treatment concepts exploiting the potential benefits of personalized therapy, there is a need to develop and validate tools to identify patients who can benefit from immunotherapy. Despite substantial effort, we do not yet know which parameters of antitumor immunity to measure and which assays are optimal for those measurements. Experimental Design: The iSBTc-SITC (International Society for Biological Therapy of Cancer-Society for Immunotherapy of Cancer), FDA (Food and Drug Administration), and NCI (National Cancer Institute) partnered to address these issues for immunotherapy of cancer. Here…

Cancer ResearchPathologymedicine.medical_specialtyHealth Planning Guidelinesmedicine.medical_treatmentConsensus Development Conferences as TopicStandardized testImmune monitoringt-cell immunity cytokine flow-cytometry cancer vaccine consortium colony-stimulating factor b elispot assay phase-ii trial dendritic cells clinical-trials hiv vaccine harmonization guidelinesMedical OncologyArticleFood and drug administrationNeoplasmsmedicineBiomarkers TumorHumansMedical physicsPersonalized therapySocieties MedicalAntitumor immunitybusiness.industryQuality assessmentUnited States Food and Drug AdministrationCancerInternational AgenciesImmunotherapymedicine.diseaseNational Cancer Institute (U.S.)United StatesOncologyPractice Guidelines as TopicImmunotherapybusiness
researchProduct

Abstract A22: PanDrugsDB: Identifying druggable genetic dependencies for personalized cancer therapy

2015

Abstract The paradigm of personalized medicine is the identification of the appropriate drug for the right patient, using molecular profiles. In Oncology, it is well established that the anticancer drugs are effective in only a small subset of patients. Moreover, many of the new targeted therapies inhibit specific proteins, and they are only effective in tumors that are genetically altered. Consequently, the success of personalized treatment depends on each individual molecular profile, which a priori can be considered as very heterogeneous. Here, we present a new computational approach (PanDrugsDB) based on the analysis and integration of genomic data (mutations, copy number variations or …

Cancer Researchbusiness.industryGenomic dataDruggabilityCancer therapyCancermedicine.diseaseBioinformaticsOncologyTumor progressionmedicineIdentification (biology)Copy-number variationPersonalized medicinebusinessMolecular Cancer Therapeutics
researchProduct

Molecular diagnosis and therapy of hepatocellular carcinoma (HCC): an emerging field for advanced technologies.

2011

Despite great progress in diagnosis and management of hepatocellular carcinoma (HCC), the exact biology of the tumor remains poorly understood overall limiting the patients' outcome. Detailed analysis and characterization of the molecular mechanisms and subsequently individual prediction of corresponding prognostic traits would revolutionize both diagnosis and treatment of HCC and is the key goal of modern personalized medicine. Over the recent years systematic approaches for the analysis of whole tumor genomes and transcriptomes as well as epigenomes became affordable tools in translational research. This includes simultaneous analyses of thousands of molecular targets using microarray-bas…

Carcinoma HepatocellularSystems biologyGenomicsTranslational researchDiseaseBioinformaticsTarget therapyEpigenesis GeneticTranslational Research BiomedicalCancer stem cellmedicineHumansMolecular pathogenesisPathology MolecularHepatologybusiness.industrySystems BiologyLiver NeoplasmsGenomicsGene expression profilemedicine.diseaseHepatocellular carcinomaNeoplastic Stem CellsPersonalized medicineLiver cancerbusinessTranscriptomeLiver cancerSignal TransductionJournal of hepatology
researchProduct

Prevention and Clinical Management of Cardiovascular Damage Induced by Anticancer Drugs: Need gor Early Biomarkers snd Cardio- snd Vasculo-Protection…

2018

The use of chemotherapy has largely improved the prognosis of cancer patients in the past two decades. However, the advent of more effective anticancer therapies has led to a higher incidence of cardiovascular toxicity that shows an increased incidence and represents a significant determinant of quality of life and mortality during ongoing treatment and in long-term survivors of cancer. In this setting, the primary objective for cardiologists and oncologists is the early identification of patients at high risk for developing cardiovascular toxicity and the identification of the cardiovascular cardiotoxicity in the earliest stages to personalize cancer therapy, arrange preventive interventio…

Cardiovascular toxicityCardiotoxicitymedicine.medical_specialtyChemotherapyVascular Toxicitybusiness.industryIncidence (epidemiology)medicine.medical_treatmentBiomarkers Omics Cardioprotection Vasculoprotection Cardiotoxicity Vascular Toxicity Anticancer drugsVasculoprotectionCancerOmicsCardioprotectionmedicine.diseaseOmicsAnticancer drugsCardiotoxicityQuality of lifemedicinePersonalized therapyIntensive care medicinebusinessBiomarkers
researchProduct

One-Year Quality of Life Trends in Early-Stage Lung Cancer Patients After Lobectomy

2020

Objective: Quality of Life (QoL) is an important predictor of patient's recovery and survival in lung cancer patients. The aim of the present study is to identify 1-year trends of lung cancer patients' QoL after robot-assisted or traditional lobectomy and investigate whether clinical (e.g., pre-surgery QoL, type of surgery, and perioperative complications) and sociodemographic variables (e.g., age) may predict these trends.Methods: An Italian sample of 176 lung cancer patients undergoing lobectomy completed the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire—Core 30 (QLQ-C30) at the pre-hospitalization (t0), 30 days (t1), 4 months (t2), 8 mon…

Change over timemedicine.medical_specialtyCare processlobectomylcsh:BF1-990individual growth curve (IGS) models03 medical and health sciences0302 clinical medicineQuality of lifeInternal medicinemedicinePsychology030212 general & internal medicineStage (cooking)Lung cancerGeneral PsychologyOriginal Researchbusiness.industryCancerEORTC QLQ-C30Perioperativemedicine.diseasehumanitieslung cancerlcsh:Psychologyquality of life030220 oncology & carcinogenesisindividual growth curve (IGS) modelPersonalized medicinebusinessPsychologyFrontiers in Psychology
researchProduct

Epigenetics and precision medicine in lung cancer

2022

Abstract Lung cancer is one of the most common types of cancer and the leading cause of cancer-related deaths worldwide. A major factor related with the high mortality rate of lung cancer patients is the late diagnosis of the disease. So, the identification and characterization of new epigenetic marks and mechanisms may contribute to better diagnose and treat lung cancer. In this chapter we review the epigenetic mechanisms involved in lung cancer, including DNA methylation, histone posttranslational modification and noncoding RNAs. The chapter focuses on biomarkers for diagnostic, prognostic and response to treatment. Finally, thanks to the reversible nature of epigenetic marks, we provide …

Clinical trialbusiness.industryDNA methylationmedicineCancerDiseasePersonalized medicineEpigeneticsbusinessPrecision medicineLung cancermedicine.diseaseBioinformatics
researchProduct

Relation between adaptive learning actions and profiles of MOOCs users

2016

The overcrowding and the heterogeneity of participants' profiles in a Massive Open Online Course (MOOC) are some of the main causes for a high dropout rate. International reports and research works points out the personalized learning as an important way to improve learning in any educational context. The information and communication technologies help to address adaptive technics in education through online courses. The specific characteristics of MOOCs point to the need to implement adaptive methodologies in MOOCs to increase the completion rates. This work presents a statistical analysis to find out in what aspects the condition of adaptivity, defined by the construct, is a preference of…

Computer scienceMassive open online course05 social sciencesDistance education050301 education050801 communication & media studiesContext (language use)Personalized learningWorld Wide WebOpen education0508 media and communicationsInformation and Communications TechnologyAdaptive learningConstruct (philosophy)0503 educationProceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality
researchProduct