5,711 results match your criteria knowledge-based curriculum


Development Of Knowledge-Based Clinical Decision Support System For Patients Included In Colorectal Screening Program.

Gastroenterol Hepatol 2021 Jun 9. Epub 2021 Jun 9.

Cardiology Department. Hospital Clínico Universitario de Santiago de Compostela. Sergas. IDIS, Spain. Electronic address:

View Article and Full-Text PDF

A cross-sectional survey on community pharmacists readiness to fight COVID-19 in a developing country: knowledge, attitude, and practice in Lebanon.

J Pharm Policy Pract 2021 Jun 11;14(1):51. Epub 2021 Jun 11.

INSPECT-LB: Institut National de Santé Publique, d'Épidémiologie Clinique et de Toxicologie, Beirut, Lebanon.

Background: Lebanon, a developing Middle Eastern country, was hit by the COVID-19 pandemic that occurred amid a severe national economic crisis. Community pharmacists are responsible for dispensing appropriate medications and products in addition to counseling, informing and educating the public, and promoting disease prevention and infection control.

Objective: This study aimed to assess community pharmacists' knowledge, attitude, and practice towards the COVID-19 pandemic and evaluate behavior changes and safety measures. Read More

View Article and Full-Text PDF

A rational strategy to support approved COVID-19 vaccines prioritization.

Hum Vaccin Immunother 2021 Jun 11:1-4. Epub 2021 Jun 11.

Biomathematics Department, Corporación para la Investigación y la Innovación-CIINAS, Colombia.

The World Health Organization (WHO) proposed a set of criteria to be considered for the prioritization of COVID-19 candidate vaccines for further development of phase II/III clinical trials, thinking in a target audience that includes vaccine scientists, product developers, manufacturers, regulators, and funding agencies. In this paper, a knowledge-based or rational strategy is employed to perform a prioritization matrix of approved COVID-19 vaccines: BBIBP-CorV, JANSSEN, CORONAVAC, SPUTNIK V, MODERNA, PFIZER, and VAXZEVRIA, based on those proposed criteria by WHO, related to safety, efficacy, stability, implementation, and availability. We found that JANSSEN vaccine is the one with the highest score in the present study, but our analysis suggests that the WHO criteria could be more useful if they are considered separately, taking into account the social, demographic and economic characteristics of each country. Read More

View Article and Full-Text PDF

Assessment of drugs approved by public knowledge-based applications (Kouchi-shinsei) during the last two decades in Japan.

Clin Pharmacol Ther 2021 Jun 10. Epub 2021 Jun 10.

Department of Regulatory Science, Faculty of Pharmacy, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-city, Tokyo, 204-5255, Japan.

Public knowledge-based application ("Kouchi-shinsei" in Japanese) is unique to Japan, implemented to eliminate the off-label use of unapproved indications, dosages and administrations because of drug lag. The guidance for public knowledge-based application was issued in 1999. This study comprehensively investigated the trends of items approved by public knowledge-based application in Japan during the last two decades. Read More

View Article and Full-Text PDF

Distributed education enables distributed economic impact: the economic contribution of the Northern Ontario School of Medicine to communities in Canada.

Health Econ Rev 2021 Jun 9;11(1):20. Epub 2021 Jun 9.

Professor of Rural Health, and Founding Dean Emeritus, Northern Ontario School of Medicine, 935 Ramsey Lake Road, Greater Sudbury, Ontario, P3E 2C6, Canada.

Background: Medical schools with distributed or regional programs encourage people to live, work, and learn in communities that may be economically challenged. Local spending by the program, staff, teachers, and students has a local economic impact. Although the economic impact of DME has been estimated for nations and sub-national regions, the community-specific impact is often unknown. Read More

View Article and Full-Text PDF

The Institute on Methods and Protocols for Advancement of Clinical Trials in ADRD (IMPACT-AD): A Novel Clinical Trials Training Program.

J Prev Alzheimers Dis 2021 ;8(3):286-291

Tyler Berkness, Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA,

Background: Alzheimer's Disease and Related Dementias (ADRD) clinical trials require multidisciplinary expertise in medicine, biostatistics, trial design, biomarkers, ethics, and informatics.

Objectives: To provide focused interactive training in ADRD clinical trials to a diverse cadre of investigators.

Design: The Institute on Methods and Protocols for Advancement of Clinical Trials in ADRD (IMPACT-AD) is a novel multidisciplinary clinical trial training program funded by the National Institute on Aging and the Alzheimer's Association with two educational tracks. Read More

View Article and Full-Text PDF
January 2021

Care and Management of Voice Change for Thyroid Surgery: Korean Society of Laryngology, Phoniatrics and Logopedics Clinical Practice Guideline.

Clin Exp Otorhinolaryngol 2021 Jun 1. Epub 2021 Jun 1.

Department of Otorhinolaryngology Head and Neck Surgery, Yonsei University College of Medicine, Seoul, Korea.

Voice change is a common complaint after thyroid surgery and has significant impacts on quality of life. The Korean Society of Laryngology, Phoniatrics, and Logopedics set up a task force team to establish guideline recommendations on education, care, and management related to thyroid surgery. The guideline recommendations include preoperative voice education, management of anticipated voice change during surgery, and comprehensive voice care after thyroid surgery, including in-depth information and up-to-date knowledge based on validated literature. Read More

View Article and Full-Text PDF

Use of knowledge based DVH predictions to enhance automated re-planning strategies in head and neck adaptive radiotherapy.

Phys Med Biol 2021 Jun 7. Epub 2021 Jun 7.

Cardiff University Cardiff School of Engineering, Cardiff, Cardiff, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

This study aimed to investigate if a commercial, knowledge-based tool for radiotherapy planning could be used to estimate potential organs at risk (OARs), which would spare the re-planning strategy for adaptive radiotherapy (ART). Sixty-four head and neck (HN) VMAT Pareto plans from our institute's database were used to train a knowledge-based planning (KBP) model. An evaluation set of 10 HN patients was randomly selected. Read More

View Article and Full-Text PDF

Bridging the Gap in Graduate Medical Education: A Longitudinal Pediatric LGBTQ Health Curriculum.

Acad Pediatr 2021 Jun 4. Epub 2021 Jun 4.

Department of Pediatrics, Columbia University Irving Medical Center, 622 West 168(th) Street, New York, NY 10032, United States.

Objective: Despite known health disparities, there is limited training in lesbian, gay, bisexual, transgender, queer/questioning (LGBTQ) health, particularly in pediatric graduate medical education (GME). We aimed to develop a longitudinal LGBTQ curriculum for a pediatrics residency program tailored to the needs and interests of our trainees.

Methods: We developed a year-long curriculum based on a formal needs assessment and evaluated changes in provider knowledge, comfort, and self-reported clinical impact through pre- and post-surveys. Read More

View Article and Full-Text PDF

Combining Task and Motion Planning: Challenges and Guidelines.

Front Robot AI 2021 19;8:637888. Epub 2021 May 19.

Knowledge-Based Systems Group, TU Wien, Vienna, Austria.

Combined Task and Motion Planning (TAMP) is an area where no one-fits-all solution can exist. Many aspects of the domain, as well as operational requirements, have an effect on how algorithms and representations are designed. Frequently, trade-offs have to be made to build a system that is effective. Read More

View Article and Full-Text PDF

Pay attention to doctor-patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis.

Inf Fusion 2021 Nov 1;75:168-185. Epub 2021 Jun 1.

State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

The sudden increase in coronavirus disease 2019 (COVID-19) cases puts high pressure on healthcare services worldwide. At this stage, fast, accurate, and early clinical assessment of the disease severity is vital. In general, there are two issues to overcome: (1) Current deep learning-based works suffer from multimodal data adequacy issues; (2) In this scenario, multimodal (e. Read More

View Article and Full-Text PDF
November 2021

A qualitative study on self-regulated learning among high performing medical students.

BMC Med Educ 2021 Jun 5;21(1):320. Epub 2021 Jun 5.

Medical Education and Research Development Unit (MERDU), Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.

Background: Self-regulated learning (SRL) is an important contributing element to the academic success of students. Literature suggests that the understanding of SRL among medical students is obscure as there is still some uncertainty about whether high performing medical students use SRL. This study explored the characteristics of high performing medical students from the SRL perspective to gain a better understanding of the application of SRL for effective learning. Read More

View Article and Full-Text PDF

Development of a prediction model for mortality and cardiovascular outcomes in older adults taking into account AZGP1.

Sci Rep 2021 Jun 3;11(1):11792. Epub 2021 Jun 3.

Department of Nephrology and Hypertension, Medizinische Hochschule Hannover (MHH), Carl-Neuberg-Str. 1, 30625, Hannover, Germany.

Zinc-alpha 2-glycoprotein (AZGP1) is a serum protein with postulated functions in metabolism, cancer and cardiovascular disease. We developed new prediction models for mortality or cardiovascular events investigating the predictive potential of serum AZGP1 in a community-based cohort of older adults. We measured AZGP1 (μg/ml) in stored serum samples of 930 individuals of the Berlin Initiative Study, a prospective, population-based cohort of adults aged ≥ 70. Read More

View Article and Full-Text PDF

Plan Complexity and Delivery Accuracy of Knowledge-based Volumetric Modulated Arc Therapy Plans with Single Optimization for Oropharyngeal Cancer.

Anticancer Res 2021 Jun;41(6):2925-2931

Department of Radiation Oncology, Faculty of Medicine, Kindai University, Osaka, Japan.

Background/aim: We investigated the plan complexity of volumetric modulated arc therapy (VMAT) with knowledge-based plan (KBP) for oropharyngeal cancer (OPC) with a single optimization and whether it could be used clinically.

Materials And Methods: KBP model was configured using 55 consecutive OPC and nasopharyngeal cancer plans. Plan complexity as a characteristic of multileaf collimator (MLC) motion and γ pass rate (2%/2 mm criterion) were compared between clinical manual plan (CMP) and KBP for other 10 plans. Read More

View Article and Full-Text PDF

Correlates of driving after cannabis use in high school students.

Prev Med 2021 Jun 1;150:106667. Epub 2021 Jun 1.

School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway. Electronic address:

Driving under the influence of cannabis is a growing public health concern among young people. This study assessed the prevalence of cannabis-impaired driving and its related sociodemographic, psychological, and knowledge-based correlates among Canadian adolescents. The sample for this study were drawn from the 2017 Ontario Student Health and Drug Use Survey (OSDUHS), consisting of high school students with valid driver's licenses (mean age = 16. Read More

View Article and Full-Text PDF

Awakening to sleep disorders in Europe: survey on education, knowledge, and treatment competence of European residents and neurologists.

Eur J Neurol 2021 Jun 2. Epub 2021 Jun 2.

Institute of Immunology, Clinical Sleep and Neuroimmunology, and Center for Biomedical Eduaction and Research, University Witten, Herdecke, Germany.

Objectives: Sleep-wake disorders are common in the general population and in most neurological disorders but often poorly recognised. With the hypothesis that neurologists do not get sufficient training during their residency, the Young European Sleep Neurologist Association (YESNA) of the European Academy of Neurology (EAN) performed a survey on postgraduate sleep education.

Methods: A 16-item questionnaire was developed and distributed among neurologists and residents across European countries. Read More

View Article and Full-Text PDF

Machine Learning in Agriculture: A Comprehensive Updated Review.

Sensors (Basel) 2021 May 28;21(11). Epub 2021 May 28.

Centre of Research and Technology-Hellas (CERTH), Institute for Bio-Economy and Agri-Technology (IBO), 6th km Charilaou-Thermi Rd, GR 57001 Thessaloniki, Greece.

The digital transformation of agriculture has evolved various aspects of management into artificial intelligent systems for the sake of making value from the ever-increasing data originated from numerous sources. A subset of artificial intelligence, namely machine learning, has a considerable potential to handle numerous challenges in the establishment of knowledge-based farming systems. The present study aims at shedding light on machine learning in agriculture by thoroughly reviewing the recent scholarly literature based on keywords' combinations of "machine learning" along with "crop management", "water management", "soil management", and "livestock management", and in accordance with PRISMA guidelines. Read More

View Article and Full-Text PDF

A Systematic, Knowledge Space-Based Proposal on Quality by Design-Driven Polymeric Micelle Development.

Pharmaceutics 2021 May 12;13(5). Epub 2021 May 12.

Faculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, H-6720 Szeged, Hungary.

Nanoparticle research and development for pharmaceuticals is a challenging task in the era of personalized medicine. Specialized and increased patient expectations and requirements for proper therapy adherence, as well as sustainable environment safety and toxicology topics raise the necessity of well designed, advanced and smart drug delivery systems on the market. These stakeholder expectations and social responsibility of pharma sector open the space and call new methods on the floor for new strategic development tools, like Quality by Design (QbD) thinking. Read More

View Article and Full-Text PDF

Towards a Knowledge-Based Decision Support System for Integrated Control of Woolly Apple Aphid, , with Maximal Biological Suppression by the Parasitoid .

Insects 2021 May 21;12(6). Epub 2021 May 21.

Zoology Department, Research Centre for Fruit Cultivation (Pcfruit Npo), Fruittuinweg 1, B-3800 Sint-Truiden, Belgium.

The woolly apple aphid (Homoptera: Aphidiae) is an important pest in apple orchards worldwide. Since the withdrawal or restricted use of certain broad-spectrum insecticides, has become one of the most severe pests in apple growing areas across Western Europe. At present, effective limitation of woolly aphid populations relies on a good synergy between chemical control treatments and biological suppression by beneficial arthropods, especially by its main specific natural enemy, the parasitoid (Hymenoptera: Aphelinidae). Read More

View Article and Full-Text PDF

A Structural Model for the Ligand Binding of Pneumococcal Serotype 3 Capsular Polysaccharide-Specific Protective Antibodies.

mBio 2021 Jun 1:e0080021. Epub 2021 Jun 1.

Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA.

Capsular polysaccharides (CPSs) are major virulence factors that decorate the surfaces of many human bacterial pathogens. In their pure form or as glycoconjugate vaccines, CPSs are extensively used in vaccines deployed in clinical practice worldwide. However, our understanding of the structural requirements for interactions between CPSs and antibodies is limited. Read More

View Article and Full-Text PDF

Conformational epitope matching and prediction based on protein surface spiral features.

BMC Genomics 2021 May 31;22(Suppl 2):116. Epub 2021 May 31.

Department of Aquaculture, College of Life Science, National Taiwan Ocean University, Keelung, Taiwan.

Background: A conformational epitope (CE) is composed of neighboring amino acid residues located on an antigenic protein surface structure. CEs bind their complementary paratopes in B-cell receptors and/or antibodies. An effective and efficient prediction tool for CE analysis is critical for the development of immunology-related applications, such as vaccine design and disease diagnosis. Read More

View Article and Full-Text PDF

Assessment of a conventional volumetric-modulated arc therapy knowledge-based planning model applied to the new Halcyon© O-ring linac in locoregional breast cancer radiotherapy.

Phys Med 2021 May 26;86:32-43. Epub 2021 May 26.

Institut Curie, Radiation Oncology Department, 26 rue d'Ulm, Paris 75005, France; Institut Curie, University Paris Saclay, PSL Research University, Inserm LITO, Orsay, France.

Introduction: The aim of this study was to evaluate the performance of a knowledge-based planning (KBP) model for breast cancer trained on plans performed on a conventional linac with 6 MV FF (flattening filter) beams and volumetric-modulated arc therapy (VMAT) for plans performed on the new jawless Halcyon© system with 6 MV FFF (flattening filter-free) beams.

Materials And Methods: Based on the RapidPlan© (RP) KBP optimization engine, a DVH Estimation Model was first trained using 56 VMAT left-sided breast cancer treatment plans performed on a conventional linac, and validated on another 20 similar cases (without manual intervention). To determine the capacity of the model for Halcyon©, an additional cohort of 20 left-sided breast cancer plans was generated with RP and analyzed for both TrueBeam© and Halcyon© machines. Read More

View Article and Full-Text PDF

Moving from Cultural Competence to Cultural Humility in Psychiatric Education.

Psychiatr Clin North Am 2021 Jun 29;44(2):149-157. Epub 2021 Apr 29.

Harvard Medical School, Outpatient Psychiatry Division, Massachusetts General Hospital, 15 Parkman Street, WACC 812, Boston, MA, USA.

Given the significant, persistent health care inequities encountered by minority populations, health care organizations and training programs have sought to incorporate cultural competency training initiatives. However, the variety of pedagogical models demonstrate the current lack of a uniform standardized curriculum. Limitations of knowledge-based cultural competence initiatives have resulted in a shift toward attitude- and behavior-based "cultural humility. Read More

View Article and Full-Text PDF

Genome structural evolution in Brassica crops.

Nat Plants 2021 May 27. Epub 2021 May 27.

Department of Biology, University of York, York, UK.

The cultivated Brassica species include numerous vegetable and oil crops of global importance. Three genomes (designated A, B and C) share mesohexapolyploid ancestry and occur both singly and in each pairwise combination to define the Brassica species. With organizational errors (such as misplaced genome segments) corrected, we showed that the fundamental structure of each of the genomes is the same, irrespective of the species in which it occurs. Read More

View Article and Full-Text PDF

Using Knowledge Graphs to Plausibly Infer Missing Associations in EMR Data.

Stud Health Technol Inform 2021 May;281:417-421

NICHE Research Group, Faculty of Computer Science, Dalhousie University, Canada.

Electronic Medical Records (EMRs) are increasingly being deployed at primary points of care and clinics for digital record keeping, increasing productivity and improving communication. In practice, however, there still exists an often incomplete picture of patient profiles, not only because of disconnected EMR systems but also due to incomplete EMR data entry - often caused by clinician time constraints and lack of data entry restrictions. To complete a patient's partial EMR data, we plausibly infer missing causal associations between medical EMR concepts, such as diagnoses and treatments, for situations that lack sufficient raw data to enable machine learning methods. Read More

View Article and Full-Text PDF

Benchmarks for interpretation of QSAR models.

J Cheminform 2021 May 26;13(1):41. Epub 2021 May 26.

Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, University Hospital in Olomouc, Hnevotinska 5, 77900, Olomouc, Czech Republic.

Interpretation of QSAR models is useful to understand the complex nature of biological or physicochemical processes, guide structural optimization or perform knowledge-based validation of QSAR models. Highly predictive models are usually complex and their interpretation is non-trivial. This is particularly true for modern neural networks. Read More

View Article and Full-Text PDF

Knowledge of Diagnostic and Therapeutic Aspects of IBD Among Nurses Working in Digestive Endoscopy: A Nationwide Italian Survey.

Gastroenterol Nurs 2021 May-Jun 01;44(3):E59-E66

Daniele Napolitano, RN, is a research nurse and ibd-nurse, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.

The importance of inflammatory bowel disease (IBD) dedicated nurses in endoscopy services is poorly explored. Non-IBD healthcare professionals who work in endoscopy units may underestimate the discomfort and the secondary psychological distress that endoscopic procedures cause in IBD patients. We performed a nationwide survey to evaluate the level of knowledge of nurses working in endoscopy facilities throughout Italy related to IBD patients' needs undergoing endoscopic procedures. Read More

View Article and Full-Text PDF

Automation and integration of a novel restricted single-isocenter stereotactic body radiotherapy (a-RESIST) method for synchronous two lung lesions.

J Appl Clin Med Phys 2021 May 25. Epub 2021 May 25.

Medical Physics Graduate Program, Department of Radiation Medicine, University of Kentucky, Lexington, KY, 40508, USA.

Synchronous treatment of two lung lesions using a single-isocenter volumetric modulated arc therapy (VMAT) stereotactic body radiation therapy (SBRT) plan can decrease treatment time and reduce the impact of intrafraction motion. However, alignment of both lesions on a single cone beam CT (CBCT) can prove difficult and may lead to setup errors and unacceptable target coverage loss. A Restricted Single-Isocenter Stereotactic Body Radiotherapy (RESIST) method was created to minimize setup uncertainties and provide treatment delivery flexibility. Read More

View Article and Full-Text PDF

Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.

Front Cell Dev Biol 2021 7;9:675099. Epub 2021 May 7.

Université de Paris, INSERM U976, France and AP-HP, Hôpital Saint-Louis, Immunology-Histocompatibility Department, Paris, France.

CD4 + T cell differentiation is governed by gene regulatory and metabolic networks, with both networks being highly interconnected and able to adapt to external stimuli. Th17 and Tregs differentiation networks play a critical role in cancer, and their balance is affected by the tumor microenvironment (TME). Factors from the TME mediate recruitment and expansion of Th17 cells, but these cells can act with pro or anti-tumor immunity. Read More

View Article and Full-Text PDF

Representations of protein structure for exploring the conformational space: A speed-accuracy trade-off.

Comput Struct Biotechnol J 2021 28;19:2618-2625. Epub 2021 Apr 28.

Université de Paris, BFA, UMR 8251, CNRS, ERL U1133, Inserm, F-75013 Paris, France.

The recent breakthrough in the field of protein structure prediction shows the relevance of using knowledge-based based scoring functions in combination with a low-resolution 3D representation of protein macromolecules. The choice of not using all atoms is barely supported by any data in the literature, and is mostly motivated by empirical and practical reasons, such as the computational cost of assessing the numerous folds of the protein conformational space. Here, we present a comprehensive study, carried on a large and balanced benchmark of predicted protein structures, to see how different types of structural representations rank in either accuracy or calculation speed, and which ones offer the best compromise between these two criteria. Read More

View Article and Full-Text PDF