NIH/Career Development Award Workshop
Leslie Raffel, MD
Associate Director and Cedars-Sinai Site Director
UCLA Clinical and Translational Science Institute
Using alternative scholarly metrics to showcase the impact of your research: ...SC CTSI at USC and CHLA
Date: Feb 7, 2018
Speaker: Caroline Muglia, Co-Associate Dean for Collections and Technical Services; and Head, Resource Sharing and Collection Assessment, USC Libraries
Overview: Scholarship is increasingly being created, disseminated, and measured on digital and social platforms. If Twitter exchanges, Facebook “saves,” and YouTube hits are the new metrics for tracking scholarship, how are we measuring societal and educational impact and outreach? How can researchers display their research impact using social media on promotion and tenure dossiers? This webinar will discuss altmetrics, alternative scholarly metrics that measure the impact and use of scholarship. We will focus on PlumX, the tool used at USC, which combines traditional and new metrics to paint a comprehensive portrait of your scholarly output and its reach in various communities and with different stakeholders.
Digital Scholar Webinar: Clinicaltrials.gov Registration and Reporting DocumentsSC CTSI at USC and CHLA
This 60-minute webinar covers the basic requirements for registration and results reporting requirements in Clinicaltrials.gov. Tips and tricks will be provided, as well as the most common issues to avoid to ensure a smooth and efficient process for public posting and updates to clinical studies. Learning Objectives At the conclusion of this webinar, participants will be able to identify internal contacts and resources available to assist with their Clinicaltrials.gov registration or results reporting.
NIH/Career Development Award Workshop
Leslie Raffel, MD
Associate Director and Cedars-Sinai Site Director
UCLA Clinical and Translational Science Institute
Using alternative scholarly metrics to showcase the impact of your research: ...SC CTSI at USC and CHLA
Date: Feb 7, 2018
Speaker: Caroline Muglia, Co-Associate Dean for Collections and Technical Services; and Head, Resource Sharing and Collection Assessment, USC Libraries
Overview: Scholarship is increasingly being created, disseminated, and measured on digital and social platforms. If Twitter exchanges, Facebook “saves,” and YouTube hits are the new metrics for tracking scholarship, how are we measuring societal and educational impact and outreach? How can researchers display their research impact using social media on promotion and tenure dossiers? This webinar will discuss altmetrics, alternative scholarly metrics that measure the impact and use of scholarship. We will focus on PlumX, the tool used at USC, which combines traditional and new metrics to paint a comprehensive portrait of your scholarly output and its reach in various communities and with different stakeholders.
Digital Scholar Webinar: Clinicaltrials.gov Registration and Reporting DocumentsSC CTSI at USC and CHLA
This 60-minute webinar covers the basic requirements for registration and results reporting requirements in Clinicaltrials.gov. Tips and tricks will be provided, as well as the most common issues to avoid to ensure a smooth and efficient process for public posting and updates to clinical studies. Learning Objectives At the conclusion of this webinar, participants will be able to identify internal contacts and resources available to assist with their Clinicaltrials.gov registration or results reporting.
Could this change how radiology residents record their clinical output?Apparao Mukkamala
Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future. https://www.radiologybusiness.com/topics/imaging-informatics/pacs-ris-radiology-residents-clinical-output
Data Visuallization for Decision Making - Intel White PaperNicholas Tenhue
Visualization tools could help healthcare providers make sense of large volumes of complex health data and improve the speed and accuracy of decisions. This Intel White Paper is based on Nicholas Tenhue's MSc ICT Innovation thesis work.
Nicholas can be reached at http://www.nicholastenhue.com
Nicholas Tenhue completed his Master's degree in MSc ICT Innovation at University College London, this document is his thesis on Making Sense of Risk by Visualizing Complex Health Data.
Find out more about Nicholas at http://nicholastenhue.com
Welcome Remarks and Overview of CTSI ResourcesUCLA CTSI
Welcome Remarks and Overview of CTSI Resources
Steven Dubinett, MD
Director, UCLA Clinical and Translational Science Institute
President/CEO, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center
MINING HEALTH EXAMINATION RECORDS A GRAPH-BASED APPROACHNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Text Mining Radiology Reports for Deep Learning Radiology Images Yifan Peng
Although hospitals have accumulated a tremendous number of radiology images and reports, using them to build data-hungry deep-learning models remains challenging. This is partially because manually annotating a dataset in large scale is costly. Here, we propose using text mining to automatically generate a weakly-labeled dataset for detecting thoracic diseases in radiology images. This work represents the first attempt to unify text mining with computer vision for medical imaging analysis in the era of deep learning.
Support & information for radiotherapy patients: how can social media help?KimMeeking
Slides from my presentation looking at social media for patient benefit and also for healthcare professionals in the field of cancer and radiation therapy.
Presented at the UK Radiological and Radiation Oncology Congress (UKRCO), Liverpool, July 2nd 2018
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Could this change how radiology residents record their clinical output?Apparao Mukkamala
Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future. https://www.radiologybusiness.com/topics/imaging-informatics/pacs-ris-radiology-residents-clinical-output
Data Visuallization for Decision Making - Intel White PaperNicholas Tenhue
Visualization tools could help healthcare providers make sense of large volumes of complex health data and improve the speed and accuracy of decisions. This Intel White Paper is based on Nicholas Tenhue's MSc ICT Innovation thesis work.
Nicholas can be reached at http://www.nicholastenhue.com
Nicholas Tenhue completed his Master's degree in MSc ICT Innovation at University College London, this document is his thesis on Making Sense of Risk by Visualizing Complex Health Data.
Find out more about Nicholas at http://nicholastenhue.com
Welcome Remarks and Overview of CTSI ResourcesUCLA CTSI
Welcome Remarks and Overview of CTSI Resources
Steven Dubinett, MD
Director, UCLA Clinical and Translational Science Institute
President/CEO, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center
MINING HEALTH EXAMINATION RECORDS A GRAPH-BASED APPROACHNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Text Mining Radiology Reports for Deep Learning Radiology Images Yifan Peng
Although hospitals have accumulated a tremendous number of radiology images and reports, using them to build data-hungry deep-learning models remains challenging. This is partially because manually annotating a dataset in large scale is costly. Here, we propose using text mining to automatically generate a weakly-labeled dataset for detecting thoracic diseases in radiology images. This work represents the first attempt to unify text mining with computer vision for medical imaging analysis in the era of deep learning.
Support & information for radiotherapy patients: how can social media help?KimMeeking
Slides from my presentation looking at social media for patient benefit and also for healthcare professionals in the field of cancer and radiation therapy.
Presented at the UK Radiological and Radiation Oncology Congress (UKRCO), Liverpool, July 2nd 2018
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Visual Analytics for Healthcare - Panel at AMIA 2012 in ChicagoAdam Perer
AMIA 2012 Panel on Visual Analytics for Healthcare
Organizer:
Adam Perer, PhD
Research Scientist
IBM T.J. Watson Research Center, Hawthorne, NY
Panelists:
Ben Shneiderman, PhD
Professor, Computer Science
University of Maryland, College Park, MD
Yuval Shahar, PhD
Professor, Head of the Medical Informatics Research Center
Ben Gurion University, Beer Sheva, Israel
Jeffrey Heer, PhD
Assistant Professor, Computer Science
Stanford University, Stanford, CA
David Gotz, PhD
Research Scientist
IBM T.J. Watson Research Center, Hawthorne, NY
Abstract
With the proliferation of medical information technology, users at all levels of the healthcare system have access to more data than ever before6. This data can be of tremendous value but is often difficult to access and interpret. For example clinicians are often faced with the challenging task of analyzing large amounts of unstructured, multi-modal, and longitudinal data to effectively diagnose and monitor the progression of a patient’s disease4,5. Similarly, patients are confronted with the difficult task of understanding the trends and correlations within data related to their own health. At the institutional level, healthcare organizations are faced with the desire to use data to improve overall operational efficiency and performance, while continuing to maintain the quality of patient care and safety.
Recent advances in visualization and visual analytics have the potential to help each of the user groups listed above do more with the often overwhelming amount of data available to them 1,3,7,8. However, to be successful, visualization designers and clinicians must work together closely to ensure that the right technologies are used to help address the meaningful problems. Unfortunately, despite the continuous use of scientific visualization and visual analytics in medical applications, the lack of communication between engineers and physicians has meant that only basic visualization and analytics techniques are currently employed in clinical practice2,9.
The goal of this panel is to present state-of-the-art visualization applications for healthcare and engage the leading physicians and clinical researchers at AMIA to discuss the areas in healthcare where additional visualization techniques are most needed.
Univ of Miami CTSI: Citizen science seminar; Oct 2014Richard Bookman
The University of Miami's Clinical & Translational Science Institute runs a seminar course for MS students.
This talk surveys 8 citizen science projects, reviews NIH's current activities, and identifies issues for attention, particularly with ethical, legal and social implications.
Genomics, Cellular Networks, Preventive Medicine, and SocietyLarry Smarr
09.12.11
Invited Talk
Guest Lecture to UCSD Medical and Pharmaceutical Students
Genetics in Medicine Course
Amphitheater of the Pharmaceutical Sciences Bldg
Title: Genomics, Cellular Networks, Preventive Medicine, and Society
La Jolla, CA
MseqDR consortium: a grass-roots effort to establish a global resource aimed ...Human Variome Project
The success of whole exome sequencing (WES) for highly heterogeneous disorders, such as mitochondrial disease, is limited by substantial technical and bioinformatics challenges to correctly identify and prioritize the extensive number of sequence variants present in each patient. The likelihood of success can be greatly improved if a large cohort of patient data is assembled in which sequence variants can be systematically analysed, annotated, and interpreted relative to known phenotype. This effort has engaged and united more than 100 international mitochondrial clinicians, researchers, and bioinformaticians in the Mitochondrial Disease Sequence Data Resource (MSeqDR) consortium that formed in June 2012 to identify and prioritize the specific WES data analysis needs of the global mitochondrial disease community. Through regular web-based meetings, we have familiarized ourselves with existing strengths and gaps facing integration of MSeqDR with public resources, as well as the major practical, technical, and ethical challenges that must be overcome to create a sustainable data resource. We have now moved forward toward our common goal by establishing a central data resource (http://mseqdr.org/) that has both public access and secure web-based features that allow the coherent compilation, organization, annotation, and analysis of WES and mtDNA genome data sets generated in both clinical- and research-based settings of suspected mitochondrial disease patients. The most important aims of the MSeqDR consortium are summarized in the MSeqDR portal within the Consortium overview sections. Consortium participants are organized in 3 working groups that include (1) Technology and Bioinformatics; (2) Phenotyping, databasing, IRB concerns and access; and (3) Mitochondrial DNA specific concerns. The online MSeqDR resource is organized into discrete sections to facilitate data deposition and common reannotation, data visualization, data set mining, and access management. With the support of the United Mitochondrial Disease Foundation (UMDF) and the NINDS/NICHD U54 supported North American Mitochondrial Disease Consortium (NAMDC), the MSeqDR prototype has been built. Current major components include common data upload and reannotation using a novel HBCR based annotation tool that has also been made publicly available through the website, MSeqDR GBrowse that allows ready visualization of all public and MSeqDR specific data including labspecific aggregate data visualization tracks, MSeqDR-LSDB instance of nearly 1250 mitochondrial disease and mitochodnrial localized genes that is based on the Locus Specific Database model, exome data set mining in individuals or families using the GEM.app tool, and Account & Access Management. Within MSeqDR GBrowse it is now possible to explore data derived from MitoMap, HmtDB, ClinVar, UCSC-NumtS, ENCODE, 1000 genomes, and many other resources that bioinformaticians recruited to the project are organizing.
GenomeTrakr: Perspectives on linking internationally - Canada and IRIDA.cafionabrinkman
Talk at GenomeTrakr network meeting Sept 23 2015 in Washington DC. On Canada's open source Integrated Rapid Infectious Disease Analysis (IRIDA) bioinformatics platform - aiding genomic epidemiology analysis for public health agencies with planned open data release and linkage to GenomeTrakr. Discussed perspectives, challenges, solutions for getting more GenomeTrakr participation internationally.
The Learning Health System: Thinking and Acting Across ScalesPhilip Payne
A Learning Health System (LHS) can be defined as an environment in which knowledge generation processes are embedded into daily clinical practice in order to continually improve the quality, safety, and outcomes of healthcare delivery. While still largely an aspirational goal, the promise of the LHS is a future in which every patient encounter is an opportunity to learn and improve that patient’s care, as well as the care their family and broader community receives. The foundation for building such an LHS can and should be the Electronic Health Record (EHR), which provides the basis for the comprehensive instrumentation and measurement of clinical phenotypes, as well as a means of delivering new evidence at the patient- and population levels. In this presentation, we will explore the ways in which such EHR-derived phenotypes can be combined with complementary data across a spectrum from biomolecules to population level trends, to both generate insights and deliver such knowledge in the right time, place, and format, ultimately improving clinical outcomes and value.
Workshop: Effective Patient Adherence Management by Engaging Enabling Technologies
Pei-Yun Sabrina Hsueha, Vimla L. Patelb, Fernando Sanchezc, Marcia Itod,e, Chohreh Partoviana, María V. Giussi Bordonig, Marion Ballf,a
a IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
b Center for Cognitive Studies in Medicine and Public Health, the New York Academy of Medicine, New York, NY, USA
c Health and Biomedical Informatics Center, University of Melbourne, Melbourne, Australia
d IBM Brazil Research Lab, Sao Paolo, Brazil
e Telehealth/Teledentistry Center, School of Dentistry, University of Sao Paulo, Sao Paulo, Brazil
f Johns Hopkins University, Baltimore, MD, USA
g Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Abstract
Effective patient adherence management strategies require better understanding of patient-generated data, including patient-reported data and measurements from devices and sensors, as key to assisting providers in learning more about their patients’needs and enhancing patient centric care. Gaining “meaningful use” of patient-generated data could ultimately lead to improvements in patient safety and outcomes. In this workshop, we review proof of concept studies using technology to assess patient health literacy and self-efficacy with the goal of providing timely intervention, remedy, and improvements in cost and quality of care. In particular, we focus on engagement-enabling technolgoies that can leverage non-clinical information sources and reflect patient activities in the “wild”. We look into barriers to adherence, patients and providers roles in improving adherence, and the use of technology to assist patients in staying on track. The speakers will address the issues related tothe integration of patient-generated data into everyday life and clinical practice and share lessons learned from implementing these designs in practice. This workshop aims to share requirements gathered for the design of next-generation healthcare systems, especially in areas where the explosive availability of patient-generated data is expected to make impacts.
An overview of genomic epidemiology, Canada's IRIDA project for genome-based outbreak investigation, and a breathless romp through the awesome potential of the MinION
Updates on the BioSense Program Redesign: 2011 Public Health Preparedness SummitTaha Kass-Hout, MD, MS
Most state and local health departments are involved in on-going traditional disease surveillance and are beginning to access information through health information exchange with clinical partners. Biosurveillance initiatives offer the opportunity to leverage these existing initiatives while providing important data to protect community health. Building on these existing activities and relationships is key to the success of national initiatives such as BioSense Redesign and meaningful use of electronic health records as a component of the evolving nationwide health information network (NHIN). During this session/workshop, the National Association of County and City Health Officials (NACCHO) and the Association of State and Territorial Health Officials (ASTHO) in association with the Centers for Disease Control and Prevention will address discuss the BioSense redesign effort and provide opportunities for extended engagement of local and state health officials. This workshop encourages the participation of public health emergency responders, and local public health personnel involved in bio-surveillance for emergency preparedness and response within their jurisdictions.
This year's 3rd Annual TCGC: The Clinical Genome Conference, held June 10-12, 2014 in San Francisco, is a three-day event that weaves together the science of sequencing and the business of implementing genomics in the clinic. It uniquely illustrates the mutual influence of those areas and the need to therefore consider the needs, challenges and opportunities of both - from next-generation sequencing and variant interpretation to insurance reimbursement and electronic health records - throughout the entire research process.Learn more at http://www.clinicalgenomeconference.com
Digital Access to the World's Literature: A Blueprint to Integrate Evidence w...Elaine Martin
Lamar Soutter Library Director Elaine Martin and Consultant Karen Dahlen introduce a digital public health library initiative that supports national and state public health departments. Success stories and next steps to build a sustainable digital library model for all public health department is covered.
Update to the International Meeting on Emerging Diseases and Surveillance (IMED) community on the latest activities for the BioSense Program redesign and public health syndromic surveillance (PHSS) meaningful use objective.
Similar to Information Visualization in Medical Informatics (20)
Presentation for Collective Intelligence conference at MIT, 4/19-20/2012, File name:
Collective intelligence 2012-shneiderman-v2
Covers policy issues for social media research, mention of our work and intro to NodeXL
Information Visualization for Medical Informatics
Lifelines, Lifelines2, LifeFlow, treemaps, networks
(slide file: Shneiderman info vismedical-georgetown-v1 )
Presentation on SHARP projects: Medication reconciliation, tracking medical lab tests, systematic yet flexible systems analysis, and preventing wrong patient errors. Houston, TX April 4, 2012
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
CDSCO and Phamacovigilance {Regulatory body in India}NEHA GUPTA
The Central Drugs Standard Control Organization (CDSCO) is India's national regulatory body for pharmaceuticals and medical devices. Operating under the Directorate General of Health Services, Ministry of Health & Family Welfare, Government of India, the CDSCO is responsible for approving new drugs, conducting clinical trials, setting standards for drugs, controlling the quality of imported drugs, and coordinating the activities of State Drug Control Organizations by providing expert advice.
Pharmacovigilance, on the other hand, is the science and activities related to the detection, assessment, understanding, and prevention of adverse effects or any other drug-related problems. The primary aim of pharmacovigilance is to ensure the safety and efficacy of medicines, thereby protecting public health.
In India, pharmacovigilance activities are monitored by the Pharmacovigilance Programme of India (PvPI), which works closely with CDSCO to collect, analyze, and act upon data regarding adverse drug reactions (ADRs). Together, they play a critical role in ensuring that the benefits of drugs outweigh their risks, maintaining high standards of patient safety, and promoting the rational use of medicines.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMS By - AKANKSHA ASHTANKAR
Pharynx and Clinical Correlations BY Dr.Rabia Inam Gandapore.pptx
Information Visualization in Medical Informatics
1. Information Visualization in Medical Informatics
Ben Shneiderman ben@cs.umd.edu @benbendc
Founding Director (1983-2000), Human-Computer Interaction Lab
Professor, Department of Computer Science
Member, Institute for Advanced Computer Studies
University of Maryland
College Park, MD 20742
6. Treemap: WHC Emergency Room
(6304 patients in Jan2006)
Group by Admissions/MF, size by service time, color by age
7. Treemap: WHC Emergency Room
(6304 patients in Jan2006) (only those service time >12 hours)
Group by Admissions/MF, size by service time, color by age
13. LifeFlow: Aggregation Strategy
Temporal
Categorical Data
(4 records)
LifeLines2 format
Tree of Event
Sequences
LifeFlow Aggregation
www.cs.umd.edu/hcil/lifeflow
19. Office of National Coordinator: SHARP
Strategic Health IT Advanced Research Projects
- Security of Health Information Technology
- Patient-Centered Cognitive Support
- Healthcare Application and Network Platform Architectures
- Secondary Use of EHR Data
Univ of Maryland HCIL tasks
- Missing Laboratory Reports
- Medication Reconciliation
- Alarms and Alerts Management
www.cs.umd.edu/hcil/sharp
20. Lab test tracking to ensure completion
Define tracking processes
Assign temporal responsibility
Define possible actions
Predict expected duration
Generate User Interface from processes
Enhance situation awareness
Integrate follow-up actions with results
Simplify rapid operations
Provide retrospective analysis
PhD work: Sureyya Tarkan
21.
22. Twinlist: Medication Reconciliation
”Best reconciliation app
I have ever seen”
Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
”Super-cool demo”
Dr. Jonathan Nebeker, Univ of Utah & VA
Tiffany Chao, Catherine Plaisant, Ben Shneideman
Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara
Students of CMSC734 Information Visualization class
(a) shows the main visualization of multiple EHRs. (b) is a temporal summary, showing the distribution of the three event types Admit, Exit, and ICU over time. (c) is the control panel for Lifelines2. Each of the 318 patients is aligned by their 1st occurrence of IMC, ranked by the number of ICU events, and filtered by the sequence of events.
Using LifeFlow, 7,041 patients are aggregated into this visualization and LifeFlow immediately reveal the most common pattern, which you could not do easily in SQL.You could easily notice this huge pattern “Arrival -> ER -> Exit”, meaning patients who visited with minor injuries or simple conditions and left the hospital immediately after receiving their treatment.When hovering the mouse over, LifeFlow displays a tooltip that gives more information, such as number of patients and other statistics, and also shows the distribution of the patients. As the horizontal gap represents time, you can see from the distribution that some patients left the hospital very quickly after visiting the emergency room while some of them stayed longer. *optionalThe second most common pattern is “Arrival (Blue) -> ER (Pink) -> Floor (Green) -> Exit (Cyan)”, meaning patients who were admitted to observe the conditions and then everything went well so they left the hospital. You can also use the horizontal gap to compare these patients with the patients who exit from the emergency room. Comparing the gap from pink to cyan and pink to green, you can see that the gap from pink to green is smaller than pink to cyan, so the patients were transferred to Floor faster than exit the hospital in average.You have seen the two most common cases, now I will remove the common patterns so we can analyze the less frequent patterns.
After removing all the common cases, we have 344 patients left. These are mostly the patients who were admitted. There are many information that I can explain from this visualization here, but I will go straight into the case that our physician partners are mostly interested in. The mouse is pointing at this sequence, which represents the “bounce backs” patients, meaning patients who were transferred from ICU to Floor because they seemed to get better, however, they were transferred back to the ICU. So the physician are interested in finding these patients to analyze what made them made the wrong decisions. *optionalAnother case is the step ups, which means the patients whose level of care were escalated to higher level, you can see from the visualization that there were patients who were transferred from ER to Floor (green) to ICU (red) and IMC (orange). The number of these patients and the average transferred time could be compare to the hospital standards to measure the quality of care.
Ben: This slide is optional. You can use it to show that when you click on the bounce backs patients, you can get the details of each patient in LifeLines2 view.
Another interesting feature is you can align by a particular event.For example, if you want to know what happened before and after the patients went to the ICU, you can align by ICU.The dash line separate between what happened before and what happened after. You can see that the ICU patients mostly came from the ER (pink), and most of them were transferred to Floor (green) after that.Unfortunately, some of them died after they were transferred to the ICU (black).From this visualization, you may notice a small pattern in the bottom. Let me zoom in.
So this patient was dead before transferred to the ICU, which is impossible. Of course, this must be problem with data entry. But we may never notice it if the data are hidden in the database.Therefore, you can see that LifeFlow support this kind of analysis bygiving overview, showing common trends, providing summary of every sequences, you can do SQL and calculate average for every transfer if you like, but in LifeFlow, it is right there, you just need to move your mouse over. showing every possible transfer pattern and may led you to a discovery of surprising pattern.