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The Liver Meeting 2020
Leon Schiff State-of-the-Art Lecture Using Innovat ...
Leon Schiff State-of-the-Art Lecture Using Innovation to Personalize the Care of Patients with PSC
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Video Transcription
maker of the Gastroenterology Committee and Hepatology Committee at the Meoclinic. And it's my big chance to give you the 2020 Leon Schiff Management Teaching. The title of my presentation is “Representing the Gastroenterology Committee and the Hepatology Committee to personalize the right part of my scene and using GBM, we engage 19 possible dumbs and then as long as we could communicate those dumbs, we found and decided that we would like to use these in our model with enough influence greater than 4 and as you can see in this effect, the most sufficient effect of the blinds was the Total B Reuben which was much higher than aluminum and aluminum was much higher than alkanophosphate wire and the rest is described here. So using those with enough influence greater than 4, we could create a final model to predict the 5-year probability of the development of the body and in this particular approach, in the covario of the application, Presto betrayed exactly the possibility of the 5 years of the development of the body with a numerical figure of 96% and in the app's covarage, Presto betrayed a numerical growth of 90%. In this particular context, you also see the numerical number we managed for the alkane phosphate wire, the alkane phosphate wire less than 1.5, the high alkanophosphate wire, for the numerical number and the specific alkanophosphate wire. This tool is now publicly available and I am providing the channel link here. Can someone go to this particular channel, read about sensitivity-sensitivity-sensitivity criteria and then you can read the system by which you can get into the shacks, the shacks, either in the US system or in the European system. And once you get into those blinds, you can have a graphic where it tells you the risk of sensitivity-sensitivity-sensitivity at time 1, 2, 3, 4, 5. We have found this tool to be very useful when discussing sensitivity-sensitivity-sensitivity with backers and it's something we think might be important for backers to know. At the same time, we believe that biologists can be another industrial sensitivity. We know that the change in sensitivity-sensitivity-sensitivity biology is a striking one part of adhesive sensitivity. At the same time, the use of change of biology-sensitivity-sensitivity in PSC remains supported and due to the impairment of biology-sensitivity-sensitivity in a large cross-section of supporters with PSC and sensitivity-sensitivity-sensitivity, arguing that plasma-biological-sensitivity profiles have sensitivity-sensitivity-sensitivity. In this particular network, we used a few chromatographic assays, created the MEO-CLINK and measured 18 biologics-sensitivity-sensitivity in 400 supporting and 302 sensitivity-sensitivity-sensitivity and described the characteristic of biologists-sensitivity-sensitivity-sensitivity-sensitivity in these two groups. Of course we found that biologists-sensitivity-sensitivity-sensitivity-sensitivity have sensitivity-sensitivity-sensitivity-sensitivity in PASK supporters and many other products that will be part of a subsequent journalism. At the same time, we were trying to develop a tool or a point to understand the previous sensitivity with a combination of biologists-sensitivity-sensitivity-sensitivity-sensitivity, which I will go into in the next scene. In this particular law, again we used an ending, which was sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity-sensitivity -sensitivity-sensitivity-sensitivity-sensitivity-sensitivity designs or angers. Using this progress, there is a recent office by Etan et al. in which two thousand and four bred with PSC were examined and they had two interventions performed at a single center in a period between January 1, 2007 and December 31, 2018. They constructed the full potential delta with the period between January 2nd and January 1st between the period. And the central end was the professional possibility. These have been created, as you see on the right side of the scene, the full potential delta with the professional potential, which was 4.32 kPa. And these have been created that the full potential delta with the period with the professional potential, which was 4.32 kPa. as you see on the right side of the scene. Finally, the full potential delta with the professional potential, which was 4.32 kPa. and the professional potential with the period with the professional potential, which was 4.32 kPa. Deep Learning has been used in other areas of the machine to learn about apparent applications and features so they can better describe the information. In these particular Deep Imaging models, the information is generated through a cascade of a few lays in a continuous manner. In the training models of these applications, the machines learn the more information they have. And, basically, this educational creation of this information is used as we apply the methodologies to better characterize and learn from this challenge so they can build their ability to make aggregations and connections. And so, we hope in the next few years to be able to build the characteristic tutorial of machine applications with PSC, so that they can better help us to recommend the previous information and results. At the same time, as they think about the information, we examine new ways to better construct the pathogenicity of the first characteristic angidia. And, importantly, we now want, in connection with the generativity, to better construct PSC's environmental slots. We have known for some time that environmentalism is important to all spirituality and we know that in spirituality genetics makes the game but environmentalism makes the spirit, as they say. Some two decades later, Christopher Willd suggests this movement of the exhibitor, who did not make an appearance for some time. But, in his position, he believes that exposome is very important for this pathogenicity as the concrete generalization that includes all lives and environmental powers up to the previous period And so, in my position, it is not only the genitive, but also all the other elements that face, to a significant extent, the exposome that they face with the genitive to monitor what we know today as PSC And now we have better tools to understand and study exposome Because of the high methodologies, we can get very small fictitious quantities, to measure various thousands of chemicals and metabolisms that we can then examine to a significant degree, to combine and learn thought applications for the development of due to this particular extent, the PSC Using these tools, we now have an important exam where we try to take these two tools, the exposome and the genome, apply all these platforms and apply the spirit and the stool and then apply the important ones to the periphery, i.e. the spirit and to the mind, i.e. the microbe mind and learn from these important that we want to gather them and associate them with phenotypes and effects of using artifical causation This is an ongoing work between four international internationals in the USA and Europe and we hope to offer interesting business from this cooperation I will go back and give you some of the previous work we have done in this particular country This scene shows you the first international for PPS We have used more than 100,000 concentrated concentrated This protection protection In the batch, they did work to understand the metabolic directions in productions with PSC. This scene creates the results of this job. The directions were clustered based on major biological function. The position of the currents in the scriptures faces the logarithmic number of the number for the direction using MAMICHONG. And the large number of today's face the number of metabolic facing the FDR number from every direction. And as you can see, one of the most important principals that we have faced for all productions with PSC and PPC, addressing the principals, it was the biological function and the biological composition, which means the importance of this particular direction, metabolic direction, because we are talking about a colossal number where organics are reviews. At the same time, we are facing a number of frontal directions that are important and presentable in this effort, which also gives us the opportunity to study this data. Finally, we have done an alternative analysis for PSC. As I said, the EU has been dealing with many chemicals associated with biological direction, officer twist and information and using jobs from the alternative directions created this alternative analysis where the metapoles were first given for chemically bound and then the clasts were addressed using a multitasking community to address communities that are tightly connected to each other. And so, this way work gives us an ending between specific alternatives for example, in clast 1 we have 17 alternatives connected to 10 metapoles for sustainable one with perceptive torsion and one with alternate alternatives and the other results for clast 2 and clast 3 So in some ways we got a better understanding the cluster of alternatives and metapoles that can affect and when we created this analysis and try to try it with more players we will be able to better describe these associated and this work gives us a better conclusion and better knowledge to deal with wine and to address the creation of the address of dealing with creation of creation of creation of dealing with creation of creation of creation of creation of today's polygeneric
Video Summary
The video transcript discusses the research and findings of the Gastroenterology and Hepatology Committees at Meoclinic concerning the prediction of the development of bile duct disorders. The presenter highlights the application of a model to predict 5-year probability based on specific biological factors. They introduce a publicly available tool for assessing sensitivity in patients with these disorders. Deep Learning techniques are explored to better characterize and understand the disease, aiming to incorporate genetics and environmental factors into predictive models. The use of machine learning in analyzing metabolic directions in patients with bile duct disorders is also discussed. The presentation concludes with the analysis of alternative paths for treatment based on chemical interactions and biological functions. The collaborative efforts between international researchers aim to enhance understanding and treatment outcomes for patients with these conditions.
Keywords
Gastroenterology and Hepatology Committees
bile duct disorders
5-year probability prediction
biological factors
Deep Learning techniques
machine learning
treatment outcomes
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