نتائج البحث - "Dose prediction methods"

المساهمون: Dynan, William [Augusta Univ., Augusta, GA (United States). Dept. of Neuroscience and Regenerative Medicine; Emory Univ., Atlanta, GA (United States). Dept. of Radiation Oncology and Biochemistry]

المصدر: PLoS ONE; 9; 11

وصف الملف: Medium: ED; Size: Article No. e111362

URL الوصول: http://www.osti.gov/scitech/servlets/purl/1213670

Find this article in full text from ProQuest

Full Text Finder

4

دورية أكاديمية

The increase in animal mortality risk following exposure to sparsely ionizing radiation is not linear quadratic with dose

المساهمون: Aravindan, Natarajan [Univ. of Oklahoma, Norman, OK (United States)]

المصدر: PLoS ONE; 10; 12

وصف الملف: Medium: ED; Size: Article No. e0140989

URL الوصول: http://www.osti.gov/scitech/servlets/purl/1240244

Find this article in full text from ProQuest

Full Text Finder

5

Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis

المؤلفون: Kenta Ninomiya, Hidetaka Arimura, Tadamasa Yoshitake, Taka-aki Hirose, Yoshiyuki Shioyama

المصدر: PLoS ONE, Vol 17, Iss 1 (2022)
PLoS ONE, Vol 17, Iss 1, p e0263292 (2022)
PLoS ONE

مصطلحات موضوعية: Male, Support Vector Machine, Pulmonology, Cancer Treatment, Chi Square Tests, Lung and Intrathoracic Tumors, Diagnostic Radiology, Stereotaxic Techniques, Machine Learning, Mathematical and Statistical Techniques, Medicine and Health Sciences, Tomography, Aged, 80 and over, Multidisciplinary, Pharmaceutics, Radiology and Imaging, Statistics, Middle Aged, Pulmonary Imaging, Oncology, Area Under Curve, Physical Sciences, Medicine, Female, Research Article, Diagnostic Imaging, Clinical Oncology, Computer and Information Sciences, Imaging Techniques, Chronic Obstructive Pulmonary Disease, Science, Radiation Therapy, Neuroimaging, Research and Analysis Methods, Dose Prediction Methods, Artificial Intelligence, Diagnostic Medicine, Support Vector Machines, Biomarkers, Tumor, Humans, Statistical Methods, Statistical Hypothesis Testing, Aged, Retrospective Studies, Biology and Life Sciences, Cancers and Neoplasms, Computed Axial Tomography, Radiation Pneumonitis, Logistic Models, ROC Curve, Clinical Medicine, Mathematics, Neuroscience

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::590db89a2740b3b9079ed2629e7dd1f5
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803154/?tool=EBI

Find this article in full text from ProQuest

6

Incidence and predictors of anemia among adults on HIV care at South Gondar Zone Public General Hospital Northwest Ethiopia, 2020; retrospective cohort study

المؤلفون: Agimasie Tigabu, Yeshiwork Beyene, Temesgen Getaneh, Bogale Chekole, Tigist Gebremaryam, Ermias Sisay Chanie, Nigusie Selomom, Tamiru Alene, Getachew Aragie, Getasew Legas, Getnet Dessie

المصدر: PLoS ONE, Vol 17, Iss 1, p e0259944 (2022)
PLoS ONE, Vol 17, Iss 1 (2022)
PLoS ONE

مصطلحات موضوعية: Male, RNA viruses, Epidemiology, HIV Infections, Kaplan-Meier Estimate, Pathology and Laboratory Medicine, Severity of Illness Index, Biochemistry, Body Mass Index, Geographical Locations, Immunodeficiency Viruses, Medicine and Health Sciences, Public and Occupational Health, Multidisciplinary, Pharmaceutics, Incidence, Anemia, Hematology, Middle Aged, Vaccination and Immunization, Anti-Retroviral Agents, Medical Microbiology, Creatinine, Viral Pathogens, Viruses, Infectious diseases, Medicine, Female, Pathogens, Research Article, Adult, Medical conditions, Adolescent, Science, Immunology, Antiretroviral Therapy, Viral diseases, Hospitals, General, Microbiology, Young Adult, Dose Prediction Methods, Antiviral Therapy, Retroviruses, Humans, Microbial Pathogens, Proportional Hazards Models, Retrospective Studies, Lentivirus, Organisms, Biology and Life Sciences, HIV, CD4 Lymphocyte Count, People and Places, Africa, Ethiopia, Preventive Medicine, Biomarkers

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93cb6e54da1b0222a4676752e2b8c826
https://doaj.org/article/a0f50939d301454b98d970b5e1bf86d8

Find this article in full text from ProQuest

7

Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study

المؤلفون: Muhammad M. AbdelGhaffar, Dalia Omran, Ahmed Elgebaly, Eshak I. Bahbah, Shimaa Afify, Mohamed AlSoda, Mohamed El-Shiekh, Enass S. ElSayed, Soha S. Shaaban, Samah AbdelHafez, Khaled Elkelany, Ayman A. Eltayar, Omnia S. Ali, Lamiaa Kamal, Ahmed M. Heiba, Ahmad El Askary, Hend Ibrahim Shousha

المصدر: PLoS ONE, Vol 17, Iss 1 (2022)
PLoS ONE, Vol 17, Iss 1, p e0262348 (2022)
PLoS ONE

مصطلحات موضوعية: Male, Viral Diseases, Physiology, Anticoagulant Therapy, Comorbidity, Azithromycin, Medical Conditions, Endocrinology, Immune Physiology, Odds Ratio, Medicine and Health Sciences, Hospital Mortality, Immune Response, Aged, 80 and over, Innate Immune System, Multidisciplinary, Pharmaceutics, Organic Compounds, Age Factors, Middle Aged, Hospitalization, Cardiovascular Therapy, Chemistry, Infectious Diseases, Physical Sciences, Cytokines, Medicine, Egypt, Female, Steroids, Research Article, Adult, Adolescent, Endocrine Disorders, Death Rates, Science, Immunology, Young Adult, Sex Factors, Dose Prediction Methods, Drug Therapy, Population Metrics, Diabetes Mellitus, Humans, Aged, Retrospective Studies, Population Biology, SARS-CoV-2, Organic Chemistry, Chemical Compounds, Anticoagulants, COVID-19, Biology and Life Sciences, Covid 19, Molecular Development, Logistic Models, Metabolic Disorders, Immune System, Developmental Biology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64d36ece1f3aa038e50f1144564eb9dc
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752027/?tool=EBI

Find this article in full text from ProQuest

8

Initial dose reduction of enzalutamide does not decrease the incidence of adverse events in castration-resistant prostate cancer

المؤلفون: Nozomu Furuta, Mitsuyoshi Tamaki, Takahiro Kimura, Seiichi Saito, Shunsuke Tsuzuki, Takuma Oshiro, Tatsuya Shimomura, Jun Miki, Shotaro Nakanishi, Hiroki Yamada, Shin Egawa

المصدر: PLoS ONE
PLoS ONE, Vol 16, Iss 10, p e0258160 (2021)

مصطلحات موضوعية: Male, Epidemiology, Cancer Treatment, Metastasis, Cohort Studies, chemistry.chemical_compound, Prostate cancer, Epidemiology of cancer, Basic Cancer Research, Medicine and Health Sciences, Aged, 80 and over, Multidisciplinary, Pharmaceutics, Incidence (epidemiology), Prostate Cancer, Prostate Diseases, Prostate-specific antigen, Prostatic Neoplasms, Castration-Resistant, Treatment Outcome, Oncology, Research Design, Benzamides, Medicine, Cancer Epidemiology, Research Article, medicine.medical_specialty, Drug-Related Side Effects and Adverse Reactions, Clinical Research Design, Science, Urology, Antineoplastic Agents, Research and Analysis Methods, Dose Prediction Methods, Nitriles, Phenylthiohydantoin, medicine, Enzalutamide, Humans, Adverse effect, Retrospective Studies, Aged, Performance status, Dose-Response Relationship, Drug, business.industry, Cancers and Neoplasms, Retrospective cohort study, Prostate-Specific Antigen, medicine.disease, Genitourinary Tract Tumors, chemistry, Adverse Events, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ceedb77902374aa546cf99cdf791e0
http://hdl.handle.net/20.500.12000/49966

Find this article in full text from ProQuest

9

phase1RMD: An R package for repeated measures dose-finding designs with novel toxicity and efficacy endpoints

المؤلفون: Rui Qin, Jun Yin, Yu Du, Shihao Shen, Sumithra J. Mandrekar

المصدر: PLoS ONE
PLoS ONE, Vol 16, Iss 9, p e0256391 (2021)

مصطلحات موضوعية: Computer science, Health Care Providers, Cancer Treatment, Drug research and development, Toxicology, Pathology and Laboratory Medicine, Dose finding, Clinical trials, Neoplasms, Computer software, Medicine and Health Sciences, Drug Dosage Calculations, Medical Personnel, Randomized Controlled Trials as Topic, Clinical Trials as Topic, Multidisciplinary, Phase I clinical investigation, Pharmaceutics, Software Engineering, Professions, Oncology, Research Design, Toxicity, Medicine, Engineering and Technology, Immunotherapy, Research Article, Computer and Information Sciences, Maximum Tolerated Dose, Science, Toxic Agents, Immunology, Antineoplastic Agents, Cancer Immunotherapy, Computer Software, Dose Prediction Methods, Physicians, Humans, Adverse effect, Pharmacology, Models, Statistical, Repeated measures design, Biology and Life Sciences, Phase i trials, Reliability engineering, Research and analysis methods, Health Care, R package, Clinical medicine, People and Places, Clinical Immunology, Population Groupings, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cc206ef1eea12b9a1116b4d8f29554a
http://europepmc.org/articles/PMC8412295

Find this article in full text from ProQuest

10

Can lung ultrasound score accurately predict the need for surfactant replacement in preterm neonates? A systematic review and meta-analysis protocol

المؤلفون: Daniele De Luca, Francesco Raimondi, Fiorella Migliaro, Daniela Pacella, Letizia Capasso

المصدر: PLoS ONE
PLoS ONE, Vol 16, Iss 7, p e0255332 (2021)

مصطلحات موضوعية: Pediatrics, Databases, Factual, Epidemiology, Surfactants, Diagnostic Radiology, Study Protocol, 0302 clinical medicine, Mathematical and Statistical Techniques, Ultrasound Imaging, Medicine and Health Sciences, Medicine, Surfactant replacement, 030212 general & internal medicine, Materials, Lung, Ultrasonography, education.field_of_study, Multidisciplinary, Respiratory distress, Pharmaceutics, Radiology and Imaging, Statistics, Metaanalysis, Research Assessment, Pulmonary Imaging, Chemistry, Systematic review, Meta-analysis, Physical Sciences, Infant, Premature, Chemical Elements, medicine.medical_specialty, Systematic Reviews, Imaging Techniques, Science, Day of life, Population, Materials Science, Research and Analysis Methods, 03 medical and health sciences, Dose Prediction Methods, Diagnostic Medicine, 030225 pediatrics, Humans, Statistical Methods, education, Protocol (science), Respiratory Distress Syndrome, Newborn, business.industry, Pulmonary Surfactants, Lung ultrasound, Oxygen, Medical Risk Factors, business, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::285d4ac9f35fd5cd62821a3f5504b76d
http://europepmc.org/articles/PMC8318286

Find this article in full text from ProQuest

تنقيح النتائج