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This document discusses the development of an application called RxFx that provides personalized drug recommendations. It analyzes data from over 3 million self-reported entries on drugs, side effects, and indications from an open-source FDA database. The data is preprocessed to reduce the drug listings and calculate the probability of each side effect for each drug based on patient reports. The application then recommends drugs for a user based on their preferences by ranking side effects from least to most preferred and considering the probabilities of each side effect for each drug option.
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RxFx is a tool that analyzes data from over 3 million self-reported patient records to help find the right prescription drug and minimize side effects. The data is cleaned to consolidate similar drug listings and side effects into tables showing the proportion of patients experiencing each side effect from different drugs for various conditions. The tool recommends treatments based on both side effect probabilities and patient preferences to help address individual needs during the costly process of finding an effective prescription.
NIF Services
The document describes various search and data retrieval functions across multiple biomedical data sources and literature. It provides examples of how to search across all data sources, filter search results, retrieve specific data rows from a source, search for papers in PubMed and PubMed Central, find related papers, and grab paper metadata from the concept mapper.
Analyze Genomes Services for Precision Medicine
The given presentation outlines services of the cloud platform "Analyze Genomes" enabling precision medicine. It was presented on the mHealth meets Diagnostics symposium in Berlin on Jun 21, 2016.
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
The document discusses how Analyze Genomes provides real-time analysis of big medical data to enable precision medicine. It analyzes diverse data sources, from genomes to clinical trials, using an in-memory database. This allows identifying best treatment options, such as finding no-small cell lung cancer patients the most effective drug. Analyze Genomes also powers related digital health applications and research projects that integrate data from various healthcare partners.
Analyze Genomes: In-memory Apps supporting Precision Medicine
This slide deck was presented on May 19, 2016 at Intel Tech Talks hosted by SAPPHIRE 2016 in Orlando, FL.
Big Data in Life Sciences
This presentation shares a 10 minute pitch of big data potentials in the field of life sciences as presented at the 2015 CMS Global Life Science Forum on Nov 9, 2015 in Frankfurt
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Slides
This document discusses the development of an application called RxFx that aims to help patients and doctors find the right prescription drug by analyzing data from over 3 million self-reported patient records. It details how the openFDA database was preprocessed, reducing the drug listings from over 320,000 to around 90,000 entries. It also explains the algorithm used to calculate the probability of side effects for each drug and generate personalized recommendations based on a patient's preferences for avoiding certain side effects.
Recommended
Slides
RxFx is a tool that analyzes data from over 3 million self-reported patient records to help find the right prescription drug and minimize side effects. The data is cleaned to consolidate similar drug listings and side effects into tables showing the proportion of patients experiencing each side effect from different drugs for various conditions. The tool recommends treatments based on both side effect probabilities and patient preferences to help address individual needs during the costly process of finding an effective prescription.
NIF Services
The document describes various search and data retrieval functions across multiple biomedical data sources and literature. It provides examples of how to search across all data sources, filter search results, retrieve specific data rows from a source, search for papers in PubMed and PubMed Central, find related papers, and grab paper metadata from the concept mapper.
Analyze Genomes Services for Precision Medicine
The given presentation outlines services of the cloud platform "Analyze Genomes" enabling precision medicine. It was presented on the mHealth meets Diagnostics symposium in Berlin on Jun 21, 2016.
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
The document discusses how Analyze Genomes provides real-time analysis of big medical data to enable precision medicine. It analyzes diverse data sources, from genomes to clinical trials, using an in-memory database. This allows identifying best treatment options, such as finding no-small cell lung cancer patients the most effective drug. Analyze Genomes also powers related digital health applications and research projects that integrate data from various healthcare partners.
Analyze Genomes: In-memory Apps supporting Precision Medicine
This slide deck was presented on May 19, 2016 at Intel Tech Talks hosted by SAPPHIRE 2016 in Orlando, FL.
Big Data in Life Sciences
This presentation shares a 10 minute pitch of big data potentials in the field of life sciences as presented at the 2015 CMS Global Life Science Forum on Nov 9, 2015 in Frankfurt
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
The given slide deck was presented on May 17 at the Intel Tech Talks hosted on SAPPHIRE 2016 in Orlando, FL.
Slides
This document discusses the development of an application called RxFx that aims to help patients and doctors find the right prescription drug by analyzing data from over 3 million self-reported patient records. It details how the openFDA database was preprocessed, reducing the drug listings from over 320,000 to around 90,000 entries. It also explains the algorithm used to calculate the probability of side effects for each drug and generate personalized recommendations based on a patient's preferences for avoiding certain side effects.
Analyze Genomes Services for Precision Medicine
This presentation shows application examples of the analyzegenomes.com service for precision medicine. It was presented at 2016 HIMSS conference in Las Vegas, NV
Using Public Access Clinical Databases to Interpret NGS Variants
In this webcast on February 19th, Gabe Rudy, Vice President of Product Development, will showcase publicly available databases and resources available for interpreting rare and novel mutations in the context of his own personal exome obtained through a limited 23andMe pilot in 2012.
The last couple years have seen many changes in well-established resources such as OMIM and dbSNP, while motivating new efforts such as ClinVar and PhenoDB to bring NGS interpretation to clinical grade through a global data sharing effort.
In this webcast, Gabe will cover:
The changing landscape of public annotations: Then, Now, and Soon.
Will the new human reference (GRCh38) released in December be a game changer?
Specific examples of improvements in annotation and algorithms that result in more accurate analysis of his own exome.
The utility and progress of NGS to different clinical applications in terms of public resources: carrier screening, hereditary cancer risk, pharmacogenomics, oncology care, and genetic disorder diagnosis.
Sharing of new clinical data: How both variation and phenotype level data is currently being shared and what will be the way forward to match rare and undiagnosed cases at a global scale.
2014 07 ismb personalized medicine
This document discusses how big data in biomedicine can be used to translate over 300 trillion points of data into new drugs and diagnostics. It describes some of the large amounts of data that exist, including over 127 million substances tested in over 740,000 assays totaling over 1.2 billion data points. The document also discusses several ongoing projects using this data, including efforts to find new markers for preeclampsia and research using genome sequencing to study diseases like inflammatory bowel disease.
Pharmacogenomic Prediction of Antracycline-induced Cardiotoxicity
This document discusses pharmacogenomic prediction of anthracycline-induced cardiotoxicity in childhood cancer. It outlines the background and rationale for the research, including that anthracyclines are highly effective chemotherapy drugs but can cause cardiotoxicity in some patients. The research aims to identify genetic factors that modify cardiotoxicity risk to inform treatment decisions. It describes the genome-wide association study conducted using the SNP & Variation Suite, which identified the RARG gene variant rs2229774 as a novel biomarker for cardiotoxicity risk. Functional validation showed RARG regulates the TOP2B gene linked to cardiotoxicity. The findings provide new insight into anthracycline cardiotoxicity and potential for genetic risk stratification to personal
Pharmacogenomic Prediction of Antracycline-induced Cardiotoxicity
Cancer remains a leading cause of morbidity and mortality world-wide. It is estimated that at least 14.1 million people are diagnosed with cancer every year and it currently accounts for at least 15% of all human deaths. Recent advances in modern medicine have significantly improved the cure rates over the last few decades, but an increase in adverse drug reactions (ADRs) has been seen with the increased intensity of treatment. Anthracycline-based cancer treatments are highly effective for many types of cancers, especially childhood malignancies and breast cancer and have significantly improved the 5 – year survival rates of many cancers from 30% to greater than 80%.
However, the use of Anthracycline-based cancer treatments is being questioned due to a highly individualized ADR, cardiac toxicity. In order for Anthracycline-based cancer treatments to remain on the market as highly effective therapies for many severely ill patients, it is imperative to identify the inherited genetic predispositions causing these ADRs, build an ADR prediction algorithm and implement this in a cost effective pharmacogenetic ADR prevention program. The ultimate goal is to tailor the right treatment to the right patients and improve the safety of these medications currently on the market.
The Canadian Pharmacogenomics Network for Drug Safety (CPNDS), recently discovered a novel gene (RARG) responsible for cardiomyopathy and congestive heart failure in cancer survivors and has developed clinical practice recommendations for genetic testing to reduce the incidence of anthracycline-induced cardiotoxicity in children after cancer treatment.
Join us as Dr. Folefac Aminkeng, presents the CPNDS’ important research efforts focused on understanding the role of genes in ADRs and developing drug safety solutions for cancer patients, initiatives which are critical to improving long-term survival outcomes.
Big Data and Genomic Medicine by Corey Nislow
View the webinar at: http://www.knome.com/webinar-big-data-genomic-medicine. This presentation covers an overview of genomic medicine, requirements and challenges of next-generation sequencing, bottlenecks to broader healthcare adoption, and why “we want to sequence everyone.”
AI-MED
Providing quality information to doctors in remote areas is essential for better healthcare. Inadequate infrastructure poses a challenge to doctors. As their practice is isolated there is very limited access to quality information. Taking help of their colleagues for second opinion is difficult because of their availability and distance. As life of a patient is in danger, information regarding possible diagnosis becomes crucial. In absence of a solution in existing circumstances, doctor and patient suffer.
By leveraging existing internet and mobile technologies one can access high end medical applications. Our mobile app gives diagnostic data and necessary tests for any given patient data. It also has a search engine that retrieves clinical data from web. As the Natural language processing (NLP) is developed using standard medical database (snomed), the search engine yields results better than standard search engine like google. App can be activated by voice, direct text or electronic health record and gives critical diagnostic information to the clinician. The Diagnostic Decision Support System (DDS) is based on methods developed specifically for medical diagnostic domain by experts. By using our DDS one can minimize medical errors and hence treatment costs. The system works over internet and can be accessed remotely through computer or smart phone. The app acts as a colleague for the doctor. It works as a second opinion also.
Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis
http://arxiv.org/abs/1512.03516
AI-MED
Providing quality information to doctors in remote areas is essential for better healthcare. Inadequate infrastructure poses a challenge to doctors. As their practice is isolated there is very limited access to quality information. Taking help of their colleagues for second opinion is difficult because of their availability and distance. As life of a patient is in danger, information regarding possible diagnosis becomes crucial. In absence of a solution in existing circumstances, doctor and patient suffer.
By leveraging existing internet and mobile technologies one can access high end medical applications. Our mobile app gives diagnostic data and necessary tests for any given patient data. It also has a search engine that retrieves clinical data from web. As the Natural language processing (NLP) is developed using standard medical database (snomed), the search engine yields results better than standard search engine like google. App can be activated by voice, direct text or electronic health record and gives critical diagnostic information to the clinician. The Diagnostic Decision Support System (DDS) is based on methods developed specifically for medical diagnostic domain by experts. By using our DDS one can minimize medical errors and hence treatment costs. The system works over internet and can be accessed remotely through computer or smart phone. The app acts as a colleague for the doctor. It works as a second opinion also.
Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis
http://arxiv.org/abs/1512.03516
Annotation capabilities
VarSeq provides powerful annotation capabilities for variant analysis including gene tracks, assemblies, variant functions, frequency tracks, functional predictions, and transcript annotations. It integrates information from over 20 public databases and sources and updates annotations monthly to provide the most current clinically relevant information for researchers. By centralizing variant annotations from disparate sources, VarSeq saves customers significant time and resources compared to manual curation of this data.
Dr. Hager 2016 Presentation The Challenges of Achieving Early Efficacy in Cli...
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This document provides information about CRHS Outreach and Brian Repko's work at Novartis Institutes for Biomedical Research. It summarizes Repko's background in computer science and mathematics and his current role as a software engineer working on drug discovery projects. It also briefly describes the drug discovery and development process and provides examples of some innovative projects at Novartis, including using DNA-encoded libraries, zebrafish behavior studies, cancer screening projects, and digital biomarkers.
Drug Repurposing in Healthcare Dr. Prerana.pptx
It is a process of identification of new pharmacological indications from old/existing/failed/investigational/already marketed/FDA approved drugs/pro-drugs and the application of the newly developed drugs to the treatment of diseases other than the drug’s original/intended therapeutic use
From Expression to Pathways Using Online Tools
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Content:
Microarray Types
Microarray Vs RNA-Seq
Transcriptomic Database
Network Vs Enrichment Vs Pathway
Connectivity Map
GEO2Enrichr
Fostering Serendipity through Big Linked Data
This document discusses fostering serendipity through linking large biomedical datasets. It linked over 30 billion triples from The Cancer Genome Atlas (TCGA) and over 23 million publications from PubMed. It developed an architecture called TopFed to continuously integrate new data through parallel querying. TopFed was evaluated against the FedX system and shown to have significantly better performance, with query runtimes over 75 times faster for some queries. A visualization interface was also created to explore the linked data.
Initial progress on the journey toward an open source potential drug-drug int...
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From cells to drug responses - machine learning in cancer research - Julian d...
PyData Amsterdam 2018
Machine learning plays an important role in cancer research. In this talk, we’ll tackle the challenge of predicting which patients are likely to respond to given anti-cancer treatments. In doing so, we’ll show how tools such as Snakemake/Bioconda can be used to create reproducible workflows and illustrate the challenges of interpreting predictive models in large, highly-correlated feature spaces.
"When time matters..."
The given slide deck was presented on the 2017 Festival of Genomics in London, UK. It depicts how latest in-memory database technology supports clinicians in finding the best treatment options incorporating genetic data.
Introduction to High-performance In-memory Genome Project at HPI
The document discusses challenges of big data processing for personalized medicine. It describes the vision of using large amounts of diverse medical data like genomes, medical records, clinical trials, and research papers to enable personalized preventative care and more effective therapies for patients. The speaker then outlines their approach using in-memory databases and analytics to enable interactive analysis of this data. Examples discussed include tools for researchers to analyze genomes, clinicians to find comparable patient cases, and patients to identify relevant clinical trials.
Atul Butte's presentation for the FDA 5th Annual Scientific Computing Days
Atul Butte's presentation for the FDA 5th Annual Scientific Computing DaysUniversity of California, San Francisco
Atul Butte's presentation for the FDA 5th Annual Scientific Computing Days, held on September 6, 2017Indications discovery and drug repurposing
Slides for meeting to be held March 14th in Philadelphia - indications discovery and drug repurposing
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Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
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Analyze Genomes Services for Precision Medicine
This presentation shows application examples of the analyzegenomes.com service for precision medicine. It was presented at 2016 HIMSS conference in Las Vegas, NV
Using Public Access Clinical Databases to Interpret NGS Variants
In this webcast on February 19th, Gabe Rudy, Vice President of Product Development, will showcase publicly available databases and resources available for interpreting rare and novel mutations in the context of his own personal exome obtained through a limited 23andMe pilot in 2012.
The last couple years have seen many changes in well-established resources such as OMIM and dbSNP, while motivating new efforts such as ClinVar and PhenoDB to bring NGS interpretation to clinical grade through a global data sharing effort.
In this webcast, Gabe will cover:
The changing landscape of public annotations: Then, Now, and Soon.
Will the new human reference (GRCh38) released in December be a game changer?
Specific examples of improvements in annotation and algorithms that result in more accurate analysis of his own exome.
The utility and progress of NGS to different clinical applications in terms of public resources: carrier screening, hereditary cancer risk, pharmacogenomics, oncology care, and genetic disorder diagnosis.
Sharing of new clinical data: How both variation and phenotype level data is currently being shared and what will be the way forward to match rare and undiagnosed cases at a global scale.
2014 07 ismb personalized medicine
This document discusses how big data in biomedicine can be used to translate over 300 trillion points of data into new drugs and diagnostics. It describes some of the large amounts of data that exist, including over 127 million substances tested in over 740,000 assays totaling over 1.2 billion data points. The document also discusses several ongoing projects using this data, including efforts to find new markers for preeclampsia and research using genome sequencing to study diseases like inflammatory bowel disease.
Pharmacogenomic Prediction of Antracycline-induced Cardiotoxicity
This document discusses pharmacogenomic prediction of anthracycline-induced cardiotoxicity in childhood cancer. It outlines the background and rationale for the research, including that anthracyclines are highly effective chemotherapy drugs but can cause cardiotoxicity in some patients. The research aims to identify genetic factors that modify cardiotoxicity risk to inform treatment decisions. It describes the genome-wide association study conducted using the SNP & Variation Suite, which identified the RARG gene variant rs2229774 as a novel biomarker for cardiotoxicity risk. Functional validation showed RARG regulates the TOP2B gene linked to cardiotoxicity. The findings provide new insight into anthracycline cardiotoxicity and potential for genetic risk stratification to personal
Pharmacogenomic Prediction of Antracycline-induced Cardiotoxicity
Cancer remains a leading cause of morbidity and mortality world-wide. It is estimated that at least 14.1 million people are diagnosed with cancer every year and it currently accounts for at least 15% of all human deaths. Recent advances in modern medicine have significantly improved the cure rates over the last few decades, but an increase in adverse drug reactions (ADRs) has been seen with the increased intensity of treatment. Anthracycline-based cancer treatments are highly effective for many types of cancers, especially childhood malignancies and breast cancer and have significantly improved the 5 – year survival rates of many cancers from 30% to greater than 80%.
However, the use of Anthracycline-based cancer treatments is being questioned due to a highly individualized ADR, cardiac toxicity. In order for Anthracycline-based cancer treatments to remain on the market as highly effective therapies for many severely ill patients, it is imperative to identify the inherited genetic predispositions causing these ADRs, build an ADR prediction algorithm and implement this in a cost effective pharmacogenetic ADR prevention program. The ultimate goal is to tailor the right treatment to the right patients and improve the safety of these medications currently on the market.
The Canadian Pharmacogenomics Network for Drug Safety (CPNDS), recently discovered a novel gene (RARG) responsible for cardiomyopathy and congestive heart failure in cancer survivors and has developed clinical practice recommendations for genetic testing to reduce the incidence of anthracycline-induced cardiotoxicity in children after cancer treatment.
Join us as Dr. Folefac Aminkeng, presents the CPNDS’ important research efforts focused on understanding the role of genes in ADRs and developing drug safety solutions for cancer patients, initiatives which are critical to improving long-term survival outcomes.
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View the webinar at: http://www.knome.com/webinar-big-data-genomic-medicine. This presentation covers an overview of genomic medicine, requirements and challenges of next-generation sequencing, bottlenecks to broader healthcare adoption, and why “we want to sequence everyone.”
AI-MED
Providing quality information to doctors in remote areas is essential for better healthcare. Inadequate infrastructure poses a challenge to doctors. As their practice is isolated there is very limited access to quality information. Taking help of their colleagues for second opinion is difficult because of their availability and distance. As life of a patient is in danger, information regarding possible diagnosis becomes crucial. In absence of a solution in existing circumstances, doctor and patient suffer.
By leveraging existing internet and mobile technologies one can access high end medical applications. Our mobile app gives diagnostic data and necessary tests for any given patient data. It also has a search engine that retrieves clinical data from web. As the Natural language processing (NLP) is developed using standard medical database (snomed), the search engine yields results better than standard search engine like google. App can be activated by voice, direct text or electronic health record and gives critical diagnostic information to the clinician. The Diagnostic Decision Support System (DDS) is based on methods developed specifically for medical diagnostic domain by experts. By using our DDS one can minimize medical errors and hence treatment costs. The system works over internet and can be accessed remotely through computer or smart phone. The app acts as a colleague for the doctor. It works as a second opinion also.
Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis
http://arxiv.org/abs/1512.03516
AI-MED
Providing quality information to doctors in remote areas is essential for better healthcare. Inadequate infrastructure poses a challenge to doctors. As their practice is isolated there is very limited access to quality information. Taking help of their colleagues for second opinion is difficult because of their availability and distance. As life of a patient is in danger, information regarding possible diagnosis becomes crucial. In absence of a solution in existing circumstances, doctor and patient suffer.
By leveraging existing internet and mobile technologies one can access high end medical applications. Our mobile app gives diagnostic data and necessary tests for any given patient data. It also has a search engine that retrieves clinical data from web. As the Natural language processing (NLP) is developed using standard medical database (snomed), the search engine yields results better than standard search engine like google. App can be activated by voice, direct text or electronic health record and gives critical diagnostic information to the clinician. The Diagnostic Decision Support System (DDS) is based on methods developed specifically for medical diagnostic domain by experts. By using our DDS one can minimize medical errors and hence treatment costs. The system works over internet and can be accessed remotely through computer or smart phone. The app acts as a colleague for the doctor. It works as a second opinion also.
Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis
http://arxiv.org/abs/1512.03516
Annotation capabilities
VarSeq provides powerful annotation capabilities for variant analysis including gene tracks, assemblies, variant functions, frequency tracks, functional predictions, and transcript annotations. It integrates information from over 20 public databases and sources and updates annotations monthly to provide the most current clinically relevant information for researchers. By centralizing variant annotations from disparate sources, VarSeq saves customers significant time and resources compared to manual curation of this data.
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From Expression to Pathways Using Online Tools
Microarray and RNA seq analysis using Online Tools
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Microarray Types
Microarray Vs RNA-Seq
Transcriptomic Database
Network Vs Enrichment Vs Pathway
Connectivity Map
GEO2Enrichr
Fostering Serendipity through Big Linked Data
This document discusses fostering serendipity through linking large biomedical datasets. It linked over 30 billion triples from The Cancer Genome Atlas (TCGA) and over 23 million publications from PubMed. It developed an architecture called TopFed to continuously integrate new data through parallel querying. TopFed was evaluated against the FedX system and shown to have significantly better performance, with query runtimes over 75 times faster for some queries. A visualization interface was also created to explore the linked data.
Initial progress on the journey toward an open source potential drug-drug int...
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Introduction to High-performance In-memory Genome Project at HPI
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Atul Butte's presentation for the FDA 5th Annual Scientific Computing Days
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Pharmacogenomic Prediction of Antracycline-induced Cardiotoxicity
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Initial progress on the journey toward an open source potential drug-drug int...
From cells to drug responses - machine learning in cancer research - Julian d...
From cells to drug responses - machine learning in cancer research - Julian d...
Introduction to High-performance In-memory Genome Project at HPI
Introduction to High-performance In-memory Genome Project at HPI
Atul Butte's presentation for the FDA 5th Annual Scientific Computing Days
Atul Butte's presentation for the FDA 5th Annual Scientific Computing Days
Recently uploaded
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness in Kansas City, MO
To: Tom Tresser
From: Roger Warren
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
毕业原版【微信:41543339】【(Glasgow毕业证书)格拉斯哥大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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Slides
- 2. We all have different needs.
- 3. Finding the right Rx is costly in terms of both time and comfort.
- 4. RxFx
- 5. Data Source • openFDA database: – 3 million records self- or physician-reported entries from around the world – more than 320k drug listings – 16k side effect listings – 13k indications (e.g. anxiety, depression)
- 6. Data Pre-processing – reduced ~320k drug listings to ~90k • grep & python pattern replacement, n-gram similarity – probability of side-effectk for drugi = # patients reporting side-effectk / # patients reporting any side-effect where ϖ = inverse of rank ordering preferences 1-k and ρi,k = probabilities of side effects 1-through-k for drug i. Recommendation =
- 7. David J. Paulsen Development of Risky Decision Making Duke University Center for Cognitive Neuroscience University of Pittsburgh Medical Center
Editor's Notes
- Hi. My name is David and I’m going to tell you about RxFx.
- RxFx aims to provide people with recommendations that are personally tailored to the side effects they are most wanting to avoid.