HXR 2016: Data Insights: Mining, Modeling, and Visualizations- Farid JamshidianHxRefactored
Data is useless if it fails to inform, which is precisely what data experts are furiously working on: turning raw informatics into meaningful narratives that begin to shift our standards. From the individual to the population level, data is leading both policy and better decision making in the clinical sphere.
Introduction to a panel of architects, public heath professionals, and civic leaders about designing for health. Hosted by American Institute of Architects, Washington, DC, on October 8, 2014
Using Metrics to improve study performanceBioclinica
Dr. Bialkowski walks us through ways to improve Clinical Trials through metrics. This content was presented as part of an on-demand webinar which is available at bioclinica.com/resources/webinars.
Biostatistician Jobs NJ-
Find health care jobs as clinical SAS programmer jobs, data manager jobs, biostatistician jobs, statistical programmer & clinical statistician jobs in faster way at Jobants.com
Why Does App Xenophobia Exist in UK HealthcareScott Hague
This presentation was conducted at the Private Healthcare Summit in London June 23rd 2015.
The presentation is focused on the opportunity for the healthcare industry to adopt mobile apps in the UK, yet many organisations, both private and public show a resistance and reluctance to consider mobile apps as a viable tool to engage and promote better health outcomes.
We look at what the healthcare sector can learn from retail giants like Amazon and Ebay and we put forward a treatment plan to help manage what we term 'app xenophobia' in the UK healthcare sector.
85% of clinical trials fail to recruit enough patients, 80% fail to finish on time. A key issue is 70% of patients live more that 2 hours from the study site. Wearable devices can support the collection of real world data in the patients home as well as create novel endpoints
Why Local & Mobile Search Matter for Eye DoctorsSurefire Local
According to Google, 72% of patients search for local practices online before scheduling an appointment. Misinformation or duplicate listings can hurt your rankings and make it difficult for these potential patients to find you online. Ask yourself these two questions:
1) Am I listed everywhere I need to be?
2) Do my listings present the same (and accurate) information?
We reached out to Yext to share insights on how Eye Doctors can win in local search by managing their directory listings.
Watch this webinar on demand at: https://surefiresocial.lpages.co/webinar-yext-od-september-2017/
A 3+ Year Review of 12 StartUp Health Companies ProgressGary Monk
On 10/26/15 I met 12 StartUp Health companies at the Cleveland Clinic. This annotated presentation shows where these companies are today in terms of activity and funding status. Some encouraging reading (See slide 15 summary)
Using Spark in Healthcare Predictive Analytics in the OR - Data Science Pop-u...Domino Data Lab
The prevailing issue when working with Operating Room (OR) scheduling within a hospital setting is that it is difficult to schedule and predict available OR block times. This leads to empty and unused operating rooms leading to longer waiting times for patients for their procedures. Using multi-variate linear regression, we will show how they can predict available OR block times using Spark MLlib resulting in better OR utilization and shorter wait times for patients. Presented by Denny Lee, Data Scientist and Evangelist at Databricks.
HXR 2016: Data Insights: Mining, Modeling, and Visualizations- Farid JamshidianHxRefactored
Data is useless if it fails to inform, which is precisely what data experts are furiously working on: turning raw informatics into meaningful narratives that begin to shift our standards. From the individual to the population level, data is leading both policy and better decision making in the clinical sphere.
Introduction to a panel of architects, public heath professionals, and civic leaders about designing for health. Hosted by American Institute of Architects, Washington, DC, on October 8, 2014
Using Metrics to improve study performanceBioclinica
Dr. Bialkowski walks us through ways to improve Clinical Trials through metrics. This content was presented as part of an on-demand webinar which is available at bioclinica.com/resources/webinars.
Biostatistician Jobs NJ-
Find health care jobs as clinical SAS programmer jobs, data manager jobs, biostatistician jobs, statistical programmer & clinical statistician jobs in faster way at Jobants.com
Why Does App Xenophobia Exist in UK HealthcareScott Hague
This presentation was conducted at the Private Healthcare Summit in London June 23rd 2015.
The presentation is focused on the opportunity for the healthcare industry to adopt mobile apps in the UK, yet many organisations, both private and public show a resistance and reluctance to consider mobile apps as a viable tool to engage and promote better health outcomes.
We look at what the healthcare sector can learn from retail giants like Amazon and Ebay and we put forward a treatment plan to help manage what we term 'app xenophobia' in the UK healthcare sector.
85% of clinical trials fail to recruit enough patients, 80% fail to finish on time. A key issue is 70% of patients live more that 2 hours from the study site. Wearable devices can support the collection of real world data in the patients home as well as create novel endpoints
Why Local & Mobile Search Matter for Eye DoctorsSurefire Local
According to Google, 72% of patients search for local practices online before scheduling an appointment. Misinformation or duplicate listings can hurt your rankings and make it difficult for these potential patients to find you online. Ask yourself these two questions:
1) Am I listed everywhere I need to be?
2) Do my listings present the same (and accurate) information?
We reached out to Yext to share insights on how Eye Doctors can win in local search by managing their directory listings.
Watch this webinar on demand at: https://surefiresocial.lpages.co/webinar-yext-od-september-2017/
A 3+ Year Review of 12 StartUp Health Companies ProgressGary Monk
On 10/26/15 I met 12 StartUp Health companies at the Cleveland Clinic. This annotated presentation shows where these companies are today in terms of activity and funding status. Some encouraging reading (See slide 15 summary)
Using Spark in Healthcare Predictive Analytics in the OR - Data Science Pop-u...Domino Data Lab
The prevailing issue when working with Operating Room (OR) scheduling within a hospital setting is that it is difficult to schedule and predict available OR block times. This leads to empty and unused operating rooms leading to longer waiting times for patients for their procedures. Using multi-variate linear regression, we will show how they can predict available OR block times using Spark MLlib resulting in better OR utilization and shorter wait times for patients. Presented by Denny Lee, Data Scientist and Evangelist at Databricks.
We're developing augmented reality software to help clinicians with pre-surgical planning by providing them with patient-specific, high fidelity 3D holograms that have been derived from the same data used to generate conventional CT scans and MRIs.
The Atlas is unlocking the $1.6 trillion local government market with a platform city officials use to build and buy better stuff more quickly...all without ever selling to cities.
AI to predict the risk of vehicle accidents using over 40 external factors including road and environmental conditions - for Usage Based Insurance and Safety usecases.
Pilota created AI algorithms that can predict flights at risk of disruption. They use this to proactively book travelers on a new flight for free during expected disruptions.
Esports is growing exponentially, but is still a highly fragmented industry. Juked is changing the game by creating the internet's first one-stop-destination for esports entertainment.
GamerzClass creates gaming masterclasses for all the biggest esport titles. Carefully designed with the best players in the world, they aspire to help gamers reach their maximum potential both in and outside of the game.
eino is a prediction platform; they help companies increase revenue in capital planning and supply chain management by analyzing possible future scenarios and determining prudent actions.
Bliinx aggregates business interactions between professionals and their contacts so that they can get up to speed on relationships without jumping through a bunch of platforms. They also generate company-wide relationship insights that boost business development initiatives and customer ROI.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
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Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
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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
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.
The Gram stain is a fundamental technique in microbiology used to classify bacteria based on their cell wall structure. It provides a quick and simple method to distinguish between Gram-positive and Gram-negative bacteria, which have different susceptibilities to antibiotics
Hi, I am Cheong, cofounder of LucidAct. We launched our AI Assistant for Chronic Care Management 8 months ago.
Today it is helping 100 nurses manage over 30,000 patients, and converted 100% of our trials to paying customers.
Medicare is paying for Chronic Care Management, but hospitals and clinics,
and their Electronic Medical Record systems are not equipped to handle long-term Chronic Care activities.
I worked with nurse Mary who had to manually track patient statuses, and stay after hours to figure out what to do for her patients next.
Yet avoidable hospitalizations and deaths still happened.
Now Mary can easily pull up the patients to focus on,
prevent patients from falling thru the crack via smart notifications,
and save time with task automation.
In fact Mary and team are managing 5x the patients they used to, and even rolled out Remote Patient Monitoring in LucidAct, effectively more than doubling their revenues.
Mary and team are not alone, here’re others we have engaged with, including XXX Hospital.
And here’s more: it’s a $111B market, going after it is
a team of industry veterans. Grace led team to accelerate time to treatment at Stanford Cancer Center. I co-invented patented technologies licensed to Microsoft, Adobe, and the like at UCSF Health.
Aging population, and availability of insurance dollars are fueling the global momentum of Chronic Care Management. We are leading with a unique and effective solution. Please join us! Thank you!