The Risk Clinic Module is designed to manage the data and the workflow of a Breast/Ovarian Cancer High Risk Clinic. It is currently under modification to increase its utility for other Hereditary Clinics, such as Cardiac Disease or Colon Cancer.
Marketing Day 2012 : Les seniors et les médias – Christophe Urvoy-Isaac & Cyr...Bisnode Belgium
86 % des seniors ne se sentent pas concernés par les messages publicitaires... alors qu’ils représentent 50% du pouvoir d’achat! Comment toucher les baby boomers? Tel est le challenge des marques.
Vritti i-Media’s Digitalworld+ rural advertising solutionVritti-i Media
Vritti i-Media's Digitalworld+ network is a digital technology enabled rural advertising solution which helps corporates reach out to their consumers in the tier 2 and tier 3 cities in a cost effective and innovative way. Currently present across80+ locations across Maharashtra, Digitalworld+ is an essential part of any media planner's rural OOH campaign
Currently, the majority of perfusionists throughout the United States use hand charting to generate reports, which document events in the operating room during open-heart surgery procedures. Perfusion Pro delivers an easy to use interface, provides complete patient and case documentation, and integrates with new or existing equipment to log case events. Licensing can be scaled from a single user to enterprise
environments spanning multiple facilities and operating rooms. Contact
PDS Medical Solutions for more information.
The Risk Clinic Module is designed to manage the data and the workflow of a Breast/Ovarian Cancer High Risk Clinic. It is currently under modification to increase its utility for other Hereditary Clinics, such as Cardiac Disease or Colon Cancer.
Marketing Day 2012 : Les seniors et les médias – Christophe Urvoy-Isaac & Cyr...Bisnode Belgium
86 % des seniors ne se sentent pas concernés par les messages publicitaires... alors qu’ils représentent 50% du pouvoir d’achat! Comment toucher les baby boomers? Tel est le challenge des marques.
Vritti i-Media’s Digitalworld+ rural advertising solutionVritti-i Media
Vritti i-Media's Digitalworld+ network is a digital technology enabled rural advertising solution which helps corporates reach out to their consumers in the tier 2 and tier 3 cities in a cost effective and innovative way. Currently present across80+ locations across Maharashtra, Digitalworld+ is an essential part of any media planner's rural OOH campaign
Currently, the majority of perfusionists throughout the United States use hand charting to generate reports, which document events in the operating room during open-heart surgery procedures. Perfusion Pro delivers an easy to use interface, provides complete patient and case documentation, and integrates with new or existing equipment to log case events. Licensing can be scaled from a single user to enterprise
environments spanning multiple facilities and operating rooms. Contact
PDS Medical Solutions for more information.
APPLING MACHINE LEARNING TO PREDICT MELASMATrần Xuân Việt
This study aims to predict Melasma based on users' data combined with medical practice data community by dermatologists to predict the disease and make some necessary recommendations in the patient screening. This study also helps reduce treatment costs and supports remote patient treatment. In this study, we built a machine learning model to assist dermatologists in predicting a person's risk of Melasma after entering his/her community
information. People can use this model through an application to track their risk of Melasma. Combining input community data with the expertise of Melasma
specialists, we built a dataset with relevant information to predict Melasma. Based on this dataset, we have statistically described the data characteristics as well as the correlated data parameters that may cause Melasma, then we use the XGBoost algorithm to build a machine learning model to predict whether a person is infected to Melasma or not. The obtained results are going to be applied to assist in predicting whether a person may have Melasma with the input of
community information combined with medical practice knowledge about the disease. From this result, it is possible to continue researching and applying artificial intelligence to support diagnosis and treatment of Melasma.
Breast cancer diagnosis: a survey of pre-processing, segmentation, feature e...IJECEIAES
Machine learning methods have been an interesting method in the field of medical for many years, and they have achieved successful results in various fields of medical science. This paper examines the effects of using machine learning algorithms in the diagnosis and classification of breast cancer from mammography imaging data. Cancer diagnosis is the identification of images as cancer or non-cancer, and this involves image preprocessing, feature extraction, classification, and performance analysis. This article studied 93 different references mentioned in the previous years in the field of processing and tries to find an effective way to diagnose and classify breast cancer. Based on the results of this research, it can be concluded that most of today’s successful methods focus on the use of deep learning methods. Finding a new method requires an overview of existing methods in the field of deep learning methods in order to make a comparison and case study.
Em fevereiro de 2022, o Dr. Tedros Adhanom, Diretor-Geral da OMS, o UNICEF e parceiros lançaram um novo relatório, "Como o marketing do leite artificial influencia nossas decisões sobre alimentação infantil".
Este relatório - o maior de seu tipo até hoje - baseia-se nas experiências de mais de 8.500 mulheres e 300 profissionais de saúde em 8 países. Ele expõe as práticas agressivas de marketing usadas pela indústria do leite em pó e destaca os impactos nas decisões das famílias sobre como alimentar seus bebês e crianças pequenas.
Mais da metade dos pais, mães e mulheres grávidas está exposta ao marketing agressivo de fórmulas infantis.
...
As mensagens que famílias e profissionais de saúde recebem são muitas vezes enganosas, cientificamente infundadas e violam o Código Internacional de Comercialização de Substitutos do Leite Materno (o Código) – um acordo histórico de saúde pública aprovado pela Assembleia Mundial da Saúde em 1981 para proteger as mães de práticas agressivas de marketing por parte da indústria de alimentos para bebês.
...
Ainda em inglês, vale ler e divulgar essa publicação.
Pela proteção à Amamentação.
Prof. Marcus Renato de Carvalho
Realtime prediction of C-section risk for laboring mothersData Con LA
Data Con LA 2020
Description
Over the last 10 years, Cedars-Sinai Health System has made significant efforts to reduce unnecessary C-sections and bring down variability in rates by provider. As part of that effort, providers in the Obstetrics department and data scientists from the Enterprise Data Intelligence team built a model to predict the likelihood that a laboring mother should have a C-section. The goal of the model is to reduce the number of unnecessary C-sections and also to identify necessary C-sections earlier in the course of labor.
Model overview
*Predictions are first made based on factors known within the first hour of admission, including pre-natal visit info, demographics and basic measurements
*The model is then updated every 10 minutes to include new information that may have come in during that time around lab values, cervical exam measurements, medications administered or other relevant events
*The admission based predictions achieved an AUC of 0.78, the continuous predictions have an AUC of 0.93 after the first 4 hours of predictions on validation data
*Models use streaming data to make predictions and return them within ~10 minutes of data being recorded
Speaker
Matthew Wells, Cedars Sinai Health System, Senior Data Scientist
1. Patient Safety is a health care professionals’ duty. A sur.docxSONU61709
1. Patient Safety is a health care professionals’ duty. A surgical team’s duty is the “…functioning of the unit and provide safety and well-being to the person who will submit to a surgical procedure” (Ventin Amorim Oliveira, Nunes Oliveira, Guedes Fontoura, et al, 2017). Surgical and treatment errors occur due to underlying causes. For instance, the failure to properly sterilize medical instruments following surgeries. Porter Adventist Hospital in Denver have notified some patients whom have been exposed to HIV, hepatitis B or hepatitis C in breaches that occurred during the time frame of July 21, 2016 and February 20th (CNN Wire, 2018).
2. Due to this error, stakeholders that were affected were the possible affected patients. The article from CNN Wire stated that the surgeries were “…found to be inadequate, which may have compromised the sterilization of the instruments” (CNN Wire, 2018). Highest risk is in hospital surgical rooms at which, “In patients who went through surgical interventions, 14-17% all hospital-acquired infections are comprised of “Surgical Area Infections”” (Ay & Gencturk, 2018). Due to the complex environments of hospitals and operating rooms, preventative factors must be to follow protocols and assure patients that they are in a safe environment to undergo the surgical procedures.
3. What information is needed to perform a root cause analysis?
Quality improvement involves numerous perspectives to detect root causes and develop optimum solutions for triumph. “A root cause analysis is used to find out what happened, why it happened, and determine what changes need to be made to improve performance” (U.S. Department of Veterans Affairs, 2018). Several pieces of information are required to perform a root cause analysis. Some of the information that might be helpful consists of “incident reports, risk management referrals, patient or family complaints, and health department citations” (Centers for Medicare & Medicaid Services, 2011). Collecting data helps prove there is a problem and helps determine how long the problem has existed, as well as how it has impacted the organization.
4. Which tool would you use to create a root cause analysis? Why?
“Root cause analysis is increasingly being used in health and social services to improve safety and quality and minimize adverse events” (Pearson, 2005). The tool that would best work to create a root cause analysis would be a cause and effect chart such as a fishbone analysis. “This process elicits root causes rather than just symptoms and results in a detailed visual diagram of all the possible causes of a particular problem” (Phillips & Simmonds, 2013). The reason a fishbone analysis would be used to create a root cause analysis is because it helps explore the issue in detail, which often will demonstrate possible solutions that might have been previously excluded. “Fishbone analysis provides a template to separate and categorize possible causes of a probl ...
Ahead of the marcus evans Evolution Summit 2023, read here an interview with Erwin De beuckelaer discussing how utilising and harmonising digital measures in clinical trials will transform the pharma industry.
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
APPLING MACHINE LEARNING TO PREDICT MELASMATrần Xuân Việt
This study aims to predict Melasma based on users' data combined with medical practice data community by dermatologists to predict the disease and make some necessary recommendations in the patient screening. This study also helps reduce treatment costs and supports remote patient treatment. In this study, we built a machine learning model to assist dermatologists in predicting a person's risk of Melasma after entering his/her community
information. People can use this model through an application to track their risk of Melasma. Combining input community data with the expertise of Melasma
specialists, we built a dataset with relevant information to predict Melasma. Based on this dataset, we have statistically described the data characteristics as well as the correlated data parameters that may cause Melasma, then we use the XGBoost algorithm to build a machine learning model to predict whether a person is infected to Melasma or not. The obtained results are going to be applied to assist in predicting whether a person may have Melasma with the input of
community information combined with medical practice knowledge about the disease. From this result, it is possible to continue researching and applying artificial intelligence to support diagnosis and treatment of Melasma.
Breast cancer diagnosis: a survey of pre-processing, segmentation, feature e...IJECEIAES
Machine learning methods have been an interesting method in the field of medical for many years, and they have achieved successful results in various fields of medical science. This paper examines the effects of using machine learning algorithms in the diagnosis and classification of breast cancer from mammography imaging data. Cancer diagnosis is the identification of images as cancer or non-cancer, and this involves image preprocessing, feature extraction, classification, and performance analysis. This article studied 93 different references mentioned in the previous years in the field of processing and tries to find an effective way to diagnose and classify breast cancer. Based on the results of this research, it can be concluded that most of today’s successful methods focus on the use of deep learning methods. Finding a new method requires an overview of existing methods in the field of deep learning methods in order to make a comparison and case study.
Em fevereiro de 2022, o Dr. Tedros Adhanom, Diretor-Geral da OMS, o UNICEF e parceiros lançaram um novo relatório, "Como o marketing do leite artificial influencia nossas decisões sobre alimentação infantil".
Este relatório - o maior de seu tipo até hoje - baseia-se nas experiências de mais de 8.500 mulheres e 300 profissionais de saúde em 8 países. Ele expõe as práticas agressivas de marketing usadas pela indústria do leite em pó e destaca os impactos nas decisões das famílias sobre como alimentar seus bebês e crianças pequenas.
Mais da metade dos pais, mães e mulheres grávidas está exposta ao marketing agressivo de fórmulas infantis.
...
As mensagens que famílias e profissionais de saúde recebem são muitas vezes enganosas, cientificamente infundadas e violam o Código Internacional de Comercialização de Substitutos do Leite Materno (o Código) – um acordo histórico de saúde pública aprovado pela Assembleia Mundial da Saúde em 1981 para proteger as mães de práticas agressivas de marketing por parte da indústria de alimentos para bebês.
...
Ainda em inglês, vale ler e divulgar essa publicação.
Pela proteção à Amamentação.
Prof. Marcus Renato de Carvalho
Realtime prediction of C-section risk for laboring mothersData Con LA
Data Con LA 2020
Description
Over the last 10 years, Cedars-Sinai Health System has made significant efforts to reduce unnecessary C-sections and bring down variability in rates by provider. As part of that effort, providers in the Obstetrics department and data scientists from the Enterprise Data Intelligence team built a model to predict the likelihood that a laboring mother should have a C-section. The goal of the model is to reduce the number of unnecessary C-sections and also to identify necessary C-sections earlier in the course of labor.
Model overview
*Predictions are first made based on factors known within the first hour of admission, including pre-natal visit info, demographics and basic measurements
*The model is then updated every 10 minutes to include new information that may have come in during that time around lab values, cervical exam measurements, medications administered or other relevant events
*The admission based predictions achieved an AUC of 0.78, the continuous predictions have an AUC of 0.93 after the first 4 hours of predictions on validation data
*Models use streaming data to make predictions and return them within ~10 minutes of data being recorded
Speaker
Matthew Wells, Cedars Sinai Health System, Senior Data Scientist
1. Patient Safety is a health care professionals’ duty. A sur.docxSONU61709
1. Patient Safety is a health care professionals’ duty. A surgical team’s duty is the “…functioning of the unit and provide safety and well-being to the person who will submit to a surgical procedure” (Ventin Amorim Oliveira, Nunes Oliveira, Guedes Fontoura, et al, 2017). Surgical and treatment errors occur due to underlying causes. For instance, the failure to properly sterilize medical instruments following surgeries. Porter Adventist Hospital in Denver have notified some patients whom have been exposed to HIV, hepatitis B or hepatitis C in breaches that occurred during the time frame of July 21, 2016 and February 20th (CNN Wire, 2018).
2. Due to this error, stakeholders that were affected were the possible affected patients. The article from CNN Wire stated that the surgeries were “…found to be inadequate, which may have compromised the sterilization of the instruments” (CNN Wire, 2018). Highest risk is in hospital surgical rooms at which, “In patients who went through surgical interventions, 14-17% all hospital-acquired infections are comprised of “Surgical Area Infections”” (Ay & Gencturk, 2018). Due to the complex environments of hospitals and operating rooms, preventative factors must be to follow protocols and assure patients that they are in a safe environment to undergo the surgical procedures.
3. What information is needed to perform a root cause analysis?
Quality improvement involves numerous perspectives to detect root causes and develop optimum solutions for triumph. “A root cause analysis is used to find out what happened, why it happened, and determine what changes need to be made to improve performance” (U.S. Department of Veterans Affairs, 2018). Several pieces of information are required to perform a root cause analysis. Some of the information that might be helpful consists of “incident reports, risk management referrals, patient or family complaints, and health department citations” (Centers for Medicare & Medicaid Services, 2011). Collecting data helps prove there is a problem and helps determine how long the problem has existed, as well as how it has impacted the organization.
4. Which tool would you use to create a root cause analysis? Why?
“Root cause analysis is increasingly being used in health and social services to improve safety and quality and minimize adverse events” (Pearson, 2005). The tool that would best work to create a root cause analysis would be a cause and effect chart such as a fishbone analysis. “This process elicits root causes rather than just symptoms and results in a detailed visual diagram of all the possible causes of a particular problem” (Phillips & Simmonds, 2013). The reason a fishbone analysis would be used to create a root cause analysis is because it helps explore the issue in detail, which often will demonstrate possible solutions that might have been previously excluded. “Fishbone analysis provides a template to separate and categorize possible causes of a probl ...
Ahead of the marcus evans Evolution Summit 2023, read here an interview with Erwin De beuckelaer discussing how utilising and harmonising digital measures in clinical trials will transform the pharma industry.
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
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The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
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.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Title: Sense of Smell
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 primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
2. Free software can be downloaded at:
Http://www.HughesRiskApps.Net
HughesRiskApps has been developed in a modular format, and, in
addition to the Pedigree module, we have also developed
modules for:
– Breast Surgery
– Pre-Anesthesia Evaluation
– Prenatal evaluation (Genetic and environmental risk to the fetus)
– Plastic surgery photo management
– Rheumatology joint function/pain evaluation
Pedigree Demo
28. 28
You can choose information that you want to be displayed in the pedigree
29. You can also hide patient name if you want to present
30. Free software can be downloaded at:
Http://www.HughesRiskApps.Net
HughesRiskApps has been developed in a modular format, and, in
addition to the Pedigree module, we have also developed
modules for:
– Breast Surgery
– Pre-Anesthesia Evaluation
– Prenatal evaluation (Genetic and environmental risk to the fetus)
– Plastic surgery photo management
– Rheumatology joint function/pain evaluation
