data nport device S-parameter data file relative path By community.cadence.com Published On :: Fri, 21 Jun 2024 09:34:54 GMT Hi, In our design team, we're looking for a strategy to make all cell views self-contained. We are struggling to do so when nport devices are involved. The nport file requires a full path, whereas what we need is a relative path to the current path of the cell in which we're using the nport. I have browsed through the forums & cadence support pages, but could not find a solution. 1) There is a proposal from Andrew to add the file directory in ADE option "Simulation Files." :https://community.cadence.com/cadence_technology_forums/f/rf-design/27167/s-parameter-datafile-path-in-nport . This, however, is not suitable, because the cell is not self contained. 2) The new cadence version off DataSource "cellView" in nport options: This however is not suitable for us due to two reasons: i- Somehow we don't get this option in the nport cell (perhaps some custom modification from our PDK team) ii- Even if we had this option, it requires to select the library, which again makes it unsuitable: We often copy design libraries for derivative products using "Hierarchical Copy" feature. And when the library is copied, the nport will still be pointing to the old library. Thus, it is still not self-contained. In principle, it should not be difficult (technically) to point to a text file relative to the cell directory (f.ex we can make a folder under the same cell with name "sparFiles" & place all spar files under this folder), however it does not seem to be possible. Could you perhaps recommend us a work-around to achieve our goal: making the cells which contain nport devices self-contained so that when we copy a cell, we do not have to update all the nport file destinations ? Thanks in advance. My Cadence Version: IC23.1-64b.ISR4.51 My Spectre version: 23.1.0.362.isr5 Full Article
data Data centre operator NEXTDC announces major investment in Malaysian digital economy By www.austrade.gov.au Published On :: Thu, 08 Jun 2023 23:51:00 GMT Australian data centre operator NEXTDC Limited is building its first overseas facility in Malaysia. Full Article Latest from Austrade
data Tourism Research Australia to report vital business events data By www.austrade.gov.au Published On :: Wed, 26 Jul 2023 06:05:00 GMT Tourism Research Australia will start collecting data on business events to measure industry performance and help inform decision making. Full Article Latest from Austrade
data Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data By blogs.nvidia.com Published On :: Mon, 04 Nov 2024 16:00:05 +0000 Editor’s note: The name of NIM Agent Blueprints was changed to NVIDIA Blueprints in October 2024. All references to the name have been updated in this blog. Enterprises and public sector organizations around the world are developing AI agents to boost the capabilities of workforces that rely on visual information from a growing number of Read Article Full Article Generative AI Robotics Artificial Intelligence Computer Vision Digital Twin Industrial and Manufacturing Metropolis NVIDIA AI Enterprise NVIDIA Blueprints NVIDIA NIM Smart Spaces Synthetic Data Generation
data Lab Confidential: Japan Research Keeps Healthcare Data Secure By blogs.nvidia.com Published On :: Wed, 13 Nov 2024 02:09:09 +0000 Established 77 years ago, Mitsui & Co stays vibrant by building businesses and ecosystems with new technologies like generative AI and confidential computing. Digital transformation takes many forms at the Tokyo-based conglomerate with 16 divisions. In one case, it’s an autonomous trucking service, in another it’s a geospatial analysis platform. Mitsui even collaborates with a Read Article Full Article Generative AI Hardware Software Supercomputing Events Healthcare and Life Sciences Social Impact
data Asian Impact Webinar 80: Statistical Data and Metadata eXchange for Enhanced Data Management By www.adb.org Published On :: 2024-10-09 Decision makers need to analyze, exchange, and disseminate statistical information effectively in today’s data-driven world. See how Statistical Data and Metadata eXchange (SDMX) standards are helping create robust data links across the globe. Full Article
data Q&A: Default and Loss Data by ADB and Other MDBs By www.adb.org Published On :: 2024-11-05 ADB’s report on sovereign default and loss rates demonstrates the low credit risk in ADB's sovereign operations, with an average default rate of 0.54% over the last 34 years and zero new defaults from 2010 to 2021. Full Article
data Asian Impact Webinar: Global Spillovers from Data-Dependent US Monetary Policy By www.adb.org Published On :: 2024-11-13 The Federal Reserve’s monetary policy has become increasingly data-dependent, with inflation and employment figures driving the nascent easing cycle. What does this mean for Asia’s financial markets? Full Article
data Asian Development Blog: Five Strategic Steps to Unlock Armenia’s Data Center Potential for Economic Growth By www.adb.org Published On :: 2024-10-16 Armenia's data center industry offers significant opportunities for economic growth, with strategic reforms in regulation, financing, and technological innovation playing crucial roles. Addressing infrastructure challenges and fostering public-private partnerships will help position Armenia as a regional digital hub. Full Article
data Does Exporting Raise Productivity? Evidence from Korean Microdata By www.adb.org Published On :: Does competition enhance productivity growth of a developing economy? Is global competition conducive to economic development? Answers as evidenced from Korean microdata. Full Article Publications/Papers and Briefs
data GSA Energy-Efficient Green Data Center Project By www.adb.org Published On :: 2024-11-07 The proposed project will support the development of a 25.6 MW Tier-III/Rated 3, LEED Gold certified, green data center in Samut Prakan, Thailand. This financing will align with the Green Loan Principles and marks ADB's first data center financing, supporting Thailand's green growth and innovation agenda. The project aims to expand green data center capacity in Thailand, demonstrate the potential for green data centers, and support the digital economy while aligning with ADB's climate finance targets. This financing will align with the Green Loan Principles and marks ADB's first data center financing, supporting Thailand's green growth and innovation agenda. The project aims to expand green data center capacity in Thailand, demonstrate the potential for green data centers, and support the digital economy while aligning with ADB's climate finance targets. Full Article
data Key Indicators for Asia and the Pacific 2024: Data for Climate Action By www.adb.org Published On :: 2024-08-22 This publication provides updated statistics on a comprehensive set of economic, financial, social, and environmental measures as well as select indicators for the Sustainable Development Goals (SDGs). Full Article
data Data centres may soon burn as much extra gas as California uses daily By www.newscientist.com Published On :: Thu, 31 Oct 2024 21:00:32 +0000 In support of their AI ambitions, tech companies are rapidly expanding US data centres, and this growth is on track to significantly increase US gas demand by 2030 Full Article
data Audio AIs are trained on data full of bias and offensive language By www.newscientist.com Published On :: Mon, 11 Nov 2024 15:29:39 +0000 Seven major datasets used to train audio-generating AI models are three times more likely to use the words "man" or "men" than "woman" or "women", raising fears of bias Full Article
data Not Enough Data to Support Kidney Disease Screening, Task Force Says By www.medicinenet.com Published On :: Mon, 29 Aug 2022 00:00:00 PDT Title: Not Enough Data to Support Kidney Disease Screening, Task Force SaysCategory: Health NewsCreated: 8/27/2012 6:05:00 PMLast Editorial Review: 8/28/2012 12:00:00 AM Full Article
data Hospitals Must Report COVID-19 Data or Be Penalized By www.medicinenet.com Published On :: Mon, 29 Aug 2022 00:00:00 PDT Title: Hospitals Must Report COVID-19 Data or Be PenalizedCategory: Health NewsCreated: 8/28/2020 12:00:00 AMLast Editorial Review: 8/28/2020 12:00:00 AM Full Article
data Moderna Readies for Full Vaccine Approval, as Pfizer Submits Data on Booster Shot By www.medicinenet.com Published On :: Mon, 29 Aug 2022 00:00:00 PDT Title: Moderna Readies for Full Vaccine Approval, as Pfizer Submits Data on Booster ShotCategory: Health NewsCreated: 8/26/2021 12:00:00 AMLast Editorial Review: 8/26/2021 12:00:00 AM Full Article
data You Could Live 9 Years Longer in Hawaii Than in Mississippi, New Data Shows By www.medicinenet.com Published On :: Tue, 23 Aug 2022 00:00:00 PDT Title: You Could Live 9 Years Longer in Hawaii Than in Mississippi, New Data ShowsCategory: Health NewsCreated: 8/23/2022 12:00:00 AMLast Editorial Review: 8/23/2022 12:00:00 AM Full Article
data Seamless, rapid, and accurate analyses of outbreak genomic data using split k-mer analysis [METHODS] By genome.cshlp.org Published On :: 2024-10-29T06:46:08-07:00 Sequence variation observed in populations of pathogens can be used for important public health and evolutionary genomic analyses, especially outbreak analysis and transmission reconstruction. Identifying this variation is typically achieved by aligning sequence reads to a reference genome, but this approach is susceptible to reference biases and requires careful filtering of called genotypes. There is a need for tools that can process this growing volume of bacterial genome data, providing rapid results, but that remain simple so they can be used without highly trained bioinformaticians, expensive data analysis, and long-term storage and processing of large files. Here we describe split k-mer analysis (SKA2), a method that supports both reference-free and reference-based mapping to quickly and accurately genotype populations of bacteria using sequencing reads or genome assemblies. SKA2 is highly accurate for closely related samples, and in outbreak simulations, we show superior variant recall compared with reference-based methods, with no false positives. SKA2 can also accurately map variants to a reference and be used with recombination detection methods to rapidly reconstruct vertical evolutionary history. SKA2 is many times faster than comparable methods and can be used to add new genomes to an existing call set, allowing sequential use without the need to reanalyze entire collections. With an inherent absence of reference bias, high accuracy, and a robust implementation, SKA2 has the potential to become the tool of choice for genotyping bacteria. SKA2 is implemented in Rust and is freely available as open-source software. Full Article
data Theoretical framework for the difference of two negative binomial distributions and its application in comparative analysis of sequencing data [METHODS] By genome.cshlp.org Published On :: 2024-10-29T06:46:08-07:00 High-throughput sequencing (HTS) technologies have been instrumental in investigating biological questions at the bulk and single-cell levels. Comparative analysis of two HTS data sets often relies on testing the statistical significance for the difference of two negative binomial distributions (DOTNB). Although negative binomial distributions are well studied, the theoretical results for DOTNB remain largely unexplored. Here, we derive basic analytical results for DOTNB and examine its asymptotic properties. As a state-of-the-art application of DOTNB, we introduce DEGage, a computational method for detecting differentially expressed genes (DEGs) in scRNA-seq data. DEGage calculates the mean of the sample-wise differences of gene expression levels as the test statistic and determines significant differential expression by computing the P-value with DOTNB. Extensive validation using simulated and real scRNA-seq data sets demonstrates that DEGage outperforms five popular DEG analysis tools: DEGseq2, DEsingle, edgeR, Monocle3, and scDD. DEGage is robust against high dropout levels and exhibits superior sensitivity when applied to balanced and imbalanced data sets, even with small sample sizes. We utilize DEGage to analyze prostate cancer scRNA-seq data sets and identify marker genes for 17 cell types. Furthermore, we apply DEGage to scRNA-seq data sets of mouse neurons with and without fear memory and reveal eight potential memory-related genes overlooked in previous analyses. The theoretical results and supporting software for DOTNB can be widely applied to comparative analyses of dispersed count data in HTS and broad research questions. Full Article
data MIRD Pamphlet No. 30: MIRDfit--A Tool for Fitting of Biodistribution Time-Activity Data for Internal Dosimetry By jnm.snmjournals.org Published On :: 2024-11-01T04:25:31-07:00 In nuclear medicine, estimating the number of radioactive decays that occur in a source organ per unit administered activity of a radiopharmaceutical (i.e., the time-integrated activity coefficient [TIAC]) is an essential task within the internal dosimetry workflow. TIAC estimation is commonly derived by least-squares fitting of various exponential models to organ time–activity data (radiopharmaceutical biodistribution). Rarely, however, are methods used to objectively determine the model that best characterizes the data. Additionally, the uncertainty associated with the resultant TIAC is generally not evaluated. As part of the MIRDsoft initiative, MIRDfit has been developed to offer a biodistribution fitting software solution that provides the following essential features and advantages for internal dose assessment: nuclear medicine–appropriate fit functions; objective metrics for guiding best-fit selection; TIAC uncertainty calculation; quality control and data archiving; integration with MIRDcalc software for dose calculation; and a user-friendly Excel-based interface. For demonstration and comparative validation of MIRDfit’s performance, TIACs were derived from serial imaging studies involving 18F-FDG and 177Lu-DOTATATE using MIRDfit. These TIACs were then compared with TIAC estimates obtained using other software. In most cases, the TIACs agreed within approximately 10% between MIRDfit and the other software. MIRDfit has been endorsed by the MIRD Committee of the Society of Nuclear Medicine and Molecular Imaging and has been integrated into the MIRDsoft suite of free dosimetry software; it is available for download at no user cost (https://mirdsoft.org/). Full Article
data Validation of an Artificial Intelligence-Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma By jnm.snmjournals.org Published On :: 2024-11-01T04:25:31-07:00 The aim of this study was to validate a previously developed deep learning model in 5 independent clinical trials. The predictive performance of this model was compared with the international prognostic index (IPI) and 2 models incorporating radiomic PET/CT features (clinical PET and PET models). Methods: In total, 1,132 diffuse large B-cell lymphoma patients were included: 296 for training and 836 for external validation. The primary outcome was 2-y time to progression. The deep learning model was trained on maximum-intensity projections from PET/CT scans. The clinical PET model included metabolic tumor volume, maximum distance from the bulkiest lesion to another lesion, SUVpeak, age, and performance status. The PET model included metabolic tumor volume, maximum distance from the bulkiest lesion to another lesion, and SUVpeak. Model performance was assessed using the area under the curve (AUC) and Kaplan–Meier curves. Results: The IPI yielded an AUC of 0.60 on all external data. The deep learning model yielded a significantly higher AUC of 0.66 (P < 0.01). For each individual clinical trial, the model was consistently better than IPI. Radiomic model AUCs remained higher for all clinical trials. The deep learning and clinical PET models showed equivalent performance (AUC, 0.69; P > 0.05). The PET model yielded the highest AUC of all models (AUC, 0.71; P < 0.05). Conclusion: The deep learning model predicted outcome in all trials with a higher performance than IPI and better survival curve separation. This model can predict treatment outcome in diffuse large B-cell lymphoma without tumor delineation but at the cost of a lower prognostic performance than with radiomics. Full Article
data Efficacy and Toxicity of [177Lu]Lu-PSMA-617 for Metastatic Castration-Resistant Prostate Cancer: Results from the U.S. Expanded-Access Program and Comparisons with Phase 3 VISION Data By jnm.snmjournals.org Published On :: 2024-11-01T04:25:31-07:00 The phase 3 VISION trial demonstrated that [177Lu]Lu-PSMA-617 prolonged progression-free survival and overall survival (OS) in prostate-specific membrane antigen [PSMA]–positive metastatic castration-resistant prostate cancer (mCRPC) patients who progressed on taxane-based chemotherapy and androgen receptor–signaling inhibitors (ARSIs). The U.S. expanded-access program (EAP; NCT04825652) was opened to provide access to [177Lu]Lu-PSMA-617 for eligible patients until regulatory approval was obtained. This study aimed to evaluate the efficacy and safety profile of [177Lu]Lu-PSMA-617 within the EAP and compare the results with those from the VISION trial. Methods: Patients enrolled in the EAP at 4 institutions in the United States with available toxicity and outcome data were included. Outcome measures included OS, a prostate-specific antigen (PSA) response rate (RR) of at least 50%, and incidences of toxicity according to Common Terminology Criteria for Adverse Events version 5.0. Differences in baseline characteristics, outcome data, and toxicity between the EAP and VISION were evaluated using t testing of proportions and survival analyses. Results: In total, 117 patients with mCRPC who received [177Lu]Lu-PSMA-617 within the EAP between May 2021 and March 2022 were eligible and included in this analysis. Patients enrolled in the EAP were more heavily pretreated with ARSI (≥2 ARSI regimens: 70% vs. 46%; P < 0.001) and had worse performance status at baseline (Eastern Cooperative Oncology Group score ≥ 2: 19% vs. 7%; P < 0.001) than VISION patients. EAP and VISION patients had similar levels of grade 3 or higher anemia (18% vs. 13%; P = 0.15), thrombocytopenia (13% vs. 8%; P = 0.13), and neutropenia (3% vs. 3%; P = 0.85) and similar PSA RRs (42% vs. 46%; P = 0.50) and OS (median: 15.1 vs. 15.3 mo; P > 0.05). Conclusion: Patients with PSMA-positive mCRPC who received [177Lu]Lu-PSMA-617 within the EAP were later in their disease trajectory than VISION patients. Patients enrolled in the EAP achieved similar PSA RRs and OS and had a safety profile similar to that of the VISION trial patients. Full Article
data Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons [RESEARCH REPORT] By molecularcasestudies.cshlp.org Published On :: 2024-01-10T08:13:38-08:00 Veterans are at an increased risk for prostate cancer, a disease with extraordinary clinical and molecular heterogeneity, compared with the general population. However, little is known about the underlying molecular heterogeneity within the veteran population and its impact on patient management and treatment. Using clinical and targeted tumor sequencing data from the National Veterans Affairs health system, we conducted a retrospective cohort study on 45 patients with advanced prostate cancer in the Veterans Precision Oncology Data Commons (VPODC), most of whom were metastatic castration-resistant. We characterized the mutational burden in this cohort and conducted unsupervised clustering analysis to stratify patients by molecular alterations. Veterans with prostate cancer exhibited a mutational landscape broadly similar to prior studies, including KMT2A and NOTCH1 mutations associated with neuroendocrine prostate cancer phenotype, previously reported to be enriched in veterans. We also identified several potential novel mutations in PTEN, MSH6, VHL, SMO, and ABL1. Hierarchical clustering analysis revealed two subgroups containing therapeutically targetable molecular features with novel mutational signatures distinct from those reported in the Catalogue of Somatic Mutations in Cancer database. The clustering approach presented in this study can potentially be used to clinically stratify patients based on their distinct mutational profiles and identify actionable somatic mutations for precision oncology. Full Article
data Analysis of Sleep and Circadian Rhythms from Drosophila Activity-Monitoring Data Using SCAMP By cshprotocols.cshlp.org Published On :: 2024-11-01T06:46:10-07:00 Sleep is a fundamental feature of life for virtually all multicellular animals, but many questions remain about how sleep is regulated and what biological functions it plays. Substantial headway has been made in the study of both circadian rhythms and sleep in the fruit fly Drosophila melanogaster, much of it through studies of individual fly activity using beam break counts from Drosophila activity monitors (DAMs). The number of laboratories worldwide studying sleep in Drosophila has grown from only a few 20 years ago to hundreds today. The utility of these studies is limited by the quality of the metrics that can be extracted from the data. Many software options exist to help analyze DAM data; however, these are often expensive or have significant limitations. Therefore, we describe here a method for analyzing DAM-based data using the sleep and circadian analysis MATLAB program (SCAMP). This user-friendly software has an advantage of combining several analyses of both sleep and circadian rhythms in one package and produces graphical outputs as well as spreadsheets of the outputs for further statistical analysis. The version of SCAMP described here is also the first published software package that can analyze data from multibeam DAM5Ms, enabling determination of positional preference over time. Full Article
data Correction to "Validity of diagnoses of SARS-CoV-2 infection in Canadian administrative health data: a multiprovince, population-based cohort study" By www.cmajopen.ca Published On :: 2024-07-02T06:35:26-07:00 Full Article
data Integration of lung function data: turning snapshots into stories By breathe.ersjournals.com Published On :: 2024-11-12T00:25:08-08:00 Missing or inaccessible lung function measurements, gathered over time, have the potential to stagnate or impair clinical care decisions being made. This jeopardises patient safety and often contributes to excessive resource utilisation. Data integration is fundamental to clinical decision-making and entails amalgamating lung function data from multiple sources in a user-friendly format. Despite this, current systems for recording lung function data are suboptimal, with copious gaps in the clinical picture arising from missing or inaccessible lung function measurements. This article discusses the importance of data integration for lung function, with a call to action for key stakeholders involved in the performance, management and interpretation of such tests. Full Article
data Signals from exotic new stars could hide in gravitational wave data By www.newscientist.com Published On :: Thu, 03 Oct 2024 16:00:45 +0100 A computer simulation suggests that some collisions between exotic, hypothetical stars would make space-time ripple with detectable waves Full Article
data DNA has been modified to make it store data 350 times faster By www.newscientist.com Published On :: Wed, 23 Oct 2024 17:00:51 +0100 Researchers have managed to encode enormous amounts of information, including images, into DNA at a rate hundreds of times faster than was previously possible Full Article
data Audio AIs are trained on data full of bias and offensive language By www.newscientist.com Published On :: Mon, 11 Nov 2024 15:29:39 +0000 Seven major datasets used to train audio-generating AI models are three times more likely to use the words "man" or "men" than "woman" or "women", raising fears of bias Full Article
data Hashtag Trending Mar.6- Facebook goes down; Amazon nuclear-powered data centres; Public trust in AI sinking By www.itbusiness.ca Published On :: Wed, 06 Mar 2024 12:58:01 +0000 Imagine a world without Facebook. For just half an hour. A group of AI leaders get together but don’t seem to invite Elon Musk. Amazon takes data centres nuclear. A new competitor for ChatGPT and Google. And public trust in AI is declining. All this and more on the “just breath, Facebook will be back” […] The post Hashtag Trending Mar.6- Facebook goes down; Amazon nuclear-powered data centres; Public trust in AI sinking first appeared on ITBusiness.ca. Full Article Podcasts AI anthropic AWS Elon Musk hashtag trending meta outage podcasts sv-angel talen-energy
data Most effective migraine drugs revealed by review of trial data By www.newscientist.com Published On :: Thu, 19 Sep 2024 16:12:20 +0100 A meta-analysis of 137 clinical trials finds triptan drugs are among the most effective for treating migraines, while newer ditan and gepant drugs were rated less highly Full Article
data Over 500 Amazon workers decry “non-data-driven” logic for 5-day RTO policy By arstechnica.com Published On :: Thu, 31 Oct 2024 17:16:04 +0000 “I used to be proud of my work and excited about my future here. I don't feel that anymore." Full Article Policy Tech Amazon return-to-office
data Suspect arrested in Snowflake data-theft attacks affecting millions By arstechnica.com Published On :: Tue, 05 Nov 2024 22:03:42 +0000 Threat actor exploited account credentials swept up by infostealers years earlier. Full Article Biz & IT Security Data breaches infostealers
data Claude AI to process secret government data through new Palantir deal By arstechnica.com Published On :: Fri, 08 Nov 2024 22:08:12 +0000 Critics worry Anthropic is endangering its "ethical" AI stance due to defense associations. Full Article AI Biz & IT AI ethics Amazon Anthropic ChatGPT chatgtp Claude Claude 3 Claude 3.5 confabulation ethical ai futurism government contracts large language models LLaMA machine learning meta military AI openai palantir US Defense Department US intelligence agencies Victor Tangermann
data The Impact of GenAI on Data Loss Prevention By gigaom.com Published On :: Tue, 01 Oct 2024 17:41:36 +0000 Data is essential for any organization. This isn’t a new concept, and it’s not one that should be a surprise, but it The post The Impact of GenAI on Data Loss Prevention appeared first on Gigaom. Full Article
data Ars online IT roundtable: What’s the future of the data center? By arstechnica.com Published On :: Thu, 21 Jan 2021 19:30:45 +0000 Join Sean Gallagher, Dell's Ivan Nekrasov, and me today, January 21, at 3:15pm Eastern! Full Article Ars Technica Videos Biz & IT business datacenter dell-tech future of the datacenter live event livestream
data Paradigm Shift in Science: From Big Data to Autonomous Robot Scientists By www.robodaily.com Published On :: Wed, 13 Nov 2024 05:57:03 GMT Sydney, Australia (SPX) Nov 04, 2024 In a recent study led by Professor Xin Li and Dr. Yanlong Guo of the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, researchers analyze how scientific research is evolving through the power of big data and artificial intelligence (AI). The paper discusses how the traditional "correlation supersedes causation" model is being increasingly challenged by new "data-intensive scie Full Article
data Centrelink data to be ‘refined’ By www.theaustralian.com.au Published On :: Wed, 11 Jan 2017 13:00:00 GMT Centrelink’s controversial data-matching program will be ‘refined’ as pressure mounts for it to be suspended. Full Article
data Indian healthcare industry to invest further in computational infrastructure for data integration in patient care By www.pharmabiz.com Published On :: Tuesday, November 12, 2024 08:00 IST The Indian healthcare industry is looking to invest further in computational infrastructure as data integration frameworks and regulatory compliance are pivotal to ensure intelligent clinical support Full Article
data Minnesota Becomes 18th State to Adopt Consumer Data Privacy Law By cohealthcom.org Published On :: Wed, 05 Jun 2024 15:27:53 +0000 On May 24, Governor Tim Walz signed into law Minnesota’s new comprehensive data privacy law, the Minnesota Consumer Data Privacy Act (HF 4757 referenced as the MCDPA). The MCDPA goes into effect on July 31, 2025, with some exceptions for colleges and universities (who have until 2029). The MCDPA is similar to other state privacy laws, […] Full Article Data Privacy Legislative consumer privacy data privacy legislation Minnesota MN Washington Privacy Act
data Rhode Island Governor Vetoes Consumer Data Privacy Act By cohealthcom.org Published On :: Wed, 03 Jul 2024 14:32:46 +0000 On June 25th, Rhode Island Governor Daniel McKee transmitted without signature (effectively a pocket veto) the Rhode Island Data Transparency and Privacy Protection Act (SB 2500 / HB 7787). The act is based on the Washington Privacy Act model but diverges from the prevalent forms of that model in two ways. First, the act contains a unique […] Full Article Data Privacy Legislative consumer privacy data privacy legislation Rhode Island RI veto Washington Privacy Act
data Driving Genetic Testing Adoption and Improved Patient Care through Health Data Intelligence By medcitynews.com Published On :: Sun, 10 Nov 2024 15:21:00 +0000 By fostering collaboration and seamless data integration into healthcare systems, the industry is laying the groundwork for a future in which “personalized medicine” is so commonplace within clinical practice that we will just start calling it “medicine.” The post Driving Genetic Testing Adoption and Improved Patient Care through Health Data Intelligence appeared first on MedCity News. Full Article BioPharma Daily MedCity Influencers Pharma biopharma nl Cancer database DNA dna testing EHR ehr integration genetic testing personalized healthcare pharmaceuticals
data Pew Urges Federal Government to Prioritize Better Exchange of Health Data By www.pewtrusts.org Published On :: Mon, 04 Jan 2021 15:13:20 -0500 The Pew Charitable Trusts sent comments Jan. 4 to the Office of the National Coordinator for Health Information Technology (ONC) and the Centers for Medicare & Medicaid Services (CMS) urging them to support the easy exchange of individuals’ health records through a pair of regulations. Full Article
data To Help Combat COVID-19, Federal Government Should Enforce Health Data Rules By www.pewtrusts.org Published On :: Wed, 06 Jan 2021 10:09:00 -0500 Breaking COVID-19’s chain of transmission requires effective physical distancing, contact tracing and rapid analyses of demographic data to reveal illness clusters and populations at high risk, such as people older than 65, Latinos and Blacks. Full Article
data Standard Technology Presents Opportunities for Medical Record Data Extraction By www.pewtrusts.org Published On :: Tue, 26 Jan 2021 10:38:00 -0500 Technology has revolutionized the way people live their lives. Individuals can use smartphones to access their bank account, shop from almost any store, and connect with friends and family around the globe. In fact, these personal devices have tethered communities together during the coronavirus pandemic, allowing many people to maintain much of their lives remotely. Full Article
data Let us show you panel data modeling By www.sas.com Published On :: 2015-11-13T13:00:00Z Watch the video and learn basic principles of modeling panel data using SAS/ETS. Full Article Webcast/video
data Be a SAS certified data scientist By blogs.sas.com Published On :: 2015-11-18T13:00:00Z This new program offers two immersive program levels, industry-recognized credentials, classroom instruction, around-the-clock access to SAS software and course materials, and more. Full Article Course Blog post
data Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software By support.sas.com Published On :: 2016-09-08T12:00:00Z This paper provides a high-level tour of five modern approaches to model building that are available in recent releases of SAS/STAT. Full Article
data Data | The NDA juggernaut has halted with the BJP-led alliance losing power in key States By www.thehindu.com Published On :: Wed, 25 Dec 2019 15:13:30 +0530 While the BJP-led NDA won resoundingly in the 2019 Lok Sabha election, it has lost power in five major State assemblies since December 2018. Full Article Data