AWS Machine Learning - AI

FEBRUARY 6, 2024

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. Please leave your thoughts and questions in the comments section.

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Artificial Inteligence Pharmaceuticals Generative AI Healthcare 94

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.

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Healthcare Artificial Inteligence Trends Artificial Intelligence 345

CIO

JULY 18, 2023

AI, crypto mining, and the metaverse One of the biggest drivers of demand for Nvidia’s chips in recent years has been AI, or, more specifically, the need to perform trillions of repetitive calculations to train machine learning models. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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Artificial Inteligence Company Pharmaceuticals 3D 246

TechCrunch

JULY 20, 2021

In 2006, Alonge was a victim of fake pharmaceuticals and almost died after taking medicine that contained lethal levels of diazepam. The machine learning model reads the sample spectra and send test results indicating the identity and the quality versus the reference. He went into a coma for three weeks.

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Technical Review Pharmaceuticals Authentication Quality Assurance 261

TechCrunch

APRIL 22, 2021

AppliedXL , a startup creating machine learning tools with what it describes as a journalistic lens, is announcing that it has raised $1.5 ” 5 machine learning essentials nontechnical leaders need to understand. million in seed funding. Newlab and The Boston Globe team up to launch AI tools startup Applied XLabs.

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Artificial Inteligence Machine Learning Data Pharmaceuticals 250

CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning.

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Analytics Data Artificial Inteligence Healthcare 363

TechCrunch

OCTOBER 15, 2020

Savana , a machine learning-based service that turns clinical notes into structured patient information for physicians and pharmacists, has raised $15 million to take its technology from Spain to the U.S., the company said. Can API vendors solve healthcare’s data woes? ” Company co-founder and chief medical officer Dr.

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Pharmaceuticals Artificial Inteligence Healthcare Machine Learning 182

TIBCO - Connected Intelligence

MARCH 4, 2021

This makes the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms an important resource for today’s data science-driven organizations that must invest in this critical technology. For the third time in a row, TIBCO Software has maintained its position as a Leader in this must-read report.

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Artificial Inteligence Machine Learning Software Analytics 72

CIO

SEPTEMBER 8, 2023

Managing inventory, both pre-operative and post-operative, is time consuming because the inventory replenishment process is reactive,” says Jim Swanson, CIO at US pharmaceutical and medical technologies company Johnson & Johnson. As an example, Swanson points to total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures.

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Artificial Inteligence Healthcare Weak Development Team Machine Learning 261

CIO

MARCH 24, 2023

Perhaps most important, Idorsia taps into Veeva’s evolving knowledge base, which encompasses data from other customers such as major pharmaceuticals giants Merck, Bayer, and Kronos, the CIO says. And that is a major gain for a startup — getting the know-how and experience of Veeva’s entire customer base, he says.

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Industry Cloud Technical Review Pharmaceuticals 271

TechCrunch

AUGUST 10, 2022

Insilico uses machine learning to identify potential drug targets and eventually create the drug. AI drug discovery relies on a massive amount of investment in so-called contract research organizations (CROs), which provide support to pharmaceutical or medical device companies in the form of outsourcing.

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Chemicals Biotech Artificial Inteligence Pharmaceuticals 187

TechCrunch

APRIL 19, 2022

Fisher, Smith and Walsh sought to create a service that could process historical clinical trial data sets from patients to build “disease-specific” machine learning models, which could in turn be used to create digital twins with corresponding virtual medical records.

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Artificial Inteligence Pharmaceuticals Development Machine Learning 170

TechCrunch

JANUARY 25, 2023

Academia has focused on other pieces of the puzzle and pharmaceuticals have, partly as a consequence of that, pursued proteins as the mechanisms for drugs. And combined with other machine learning work, we have been able to dramatically improve both the speed and accuracy from the paper.” It’s vastly underexplored.”

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Pharmaceuticals Biotech Artificial Inteligence Machine Learning 202

TechCrunch

SEPTEMBER 9, 2021

the Japanese pharmaceutical that led Neuroglee’s last round last year. Neuroglee’s adaptive learning tech uses machine learning and biomarkers related to cognitive function, mood and behavior to automatically personalize therapy plans for each patient, who access the software through a smartphone or tablet.

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Pharmaceuticals Games Artificial Inteligence Machine Learning 234

CIO

NOVEMBER 11, 2022

As the global COVID-19 pandemic was beginning to spread, the company, one of the world’s largest suppliers of pharmaceuticals, medical devices, and consumer packaged goods, needed to reduce costs, speed up tasks, and improve the accuracy of its core business operations. But organizations like J&J wanted to take automation further.

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Artificial Inteligence Pharmaceuticals Artificial Intelligence Technical Review 301

CIO

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning.

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Artificial Inteligence Technical Review Artificial Intelligence Systems Review 355

Hu's Place - HitachiVantara

MARCH 20, 2018

On March 12, Hitachi and the University of Utah Health, a leading institution in electronic health records and interoperability clinical information systems research announced the joint development of a decision support system that allows clinicians and patients to choose pharmaceutical options for treating type-2 diabetes.

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Artificial Inteligence Machine Learning Pharmaceuticals Journal 40

TechCrunch

SEPTEMBER 13, 2022

And this is where WhiteLab Genomics enters the fray, with a computational approach that meshes machine learning and deep learning techniques to process multiple scientific hypotheses at once, looking at different genetic variants “to predict the best molecular design for the therapy” based on the objectives.

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Biotech Development Pharmaceuticals Artificial Inteligence 258

Perficient

JANUARY 4, 2024

Built on our accelerated modeling process, CX AI focuses on developing an interactive model that demonstrates how your organization can leverage machine learning, natural language processing, and cognitive computing to jump start Al adoption.

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Artificial Inteligence Generative AI Artificial Intelligence Pharmaceuticals 72

TIBCO - Connected Intelligence

JANUARY 27, 2020

Are there any applications for anomaly detection in pharmaceuticals? There are many applications of anomaly detection in the pharmaceutical life sciences space. Timely anomaly detection is critical to avoid abnormal events and adhere to safety standards.

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Artificial Inteligence Machine Learning Pharmaceuticals How To 46

TechCrunch

JANUARY 17, 2021

On the clinical side, Embleema ’s software allows clinical investigators to share data and design studies, making pharmaceutical research more efficient. For people with chronic conditions, Folia Health helps monitor the progress of treatments. Nobi’s smart lamp alerts caregivers when a fall is detected.

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AWS Machine Learning - AI

MARCH 4, 2024

For instance, pharmaceutical companies can query drug research papers alongside protein structure diagrams to accelerate discovery. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services. Media organizations can generate image captions or video scripts automatically.

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Generative AI AWS Artificial Inteligence Innovation 137

TechCrunch

OCTOBER 29, 2020

The company’s machine learning dashboard is able to detect improper payments more quickly, conduct clinical claim reviews and generate reports, speeding up and cleaning up a process that’s been mostly manual and inefficient. Alaffia automates the process of auditing health insurance claims.

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Meeting VR Insurance Pharmaceuticals 213

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

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Data Database Administration Data Engineering Artificial Inteligence 329

TechCrunch

MARCH 23, 2023

It’s rarely so simple, but Pragma is building a gigantic statistical model (with machine learning mixed in, of course) of all these things to identify likely candidates for investigation. Might be a good idea to isolate molecule C and see if it can be used to help others use therapy A, right?

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Pharmaceuticals Machine Learning Artificial Inteligence Testing 201

TechCrunch

SEPTEMBER 14, 2022

The technology works on pharmaceutical products that have big budgets, but not so good when you are trying to make a high-volume, low-margin product like meat, he added. Kent, who has expertise in stem cell biology, explained that these proteins have been used for decades, mainly in the biopharmaceutical industry.

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Culture Pharmaceuticals Machine Learning Artificial Inteligence 233

CIO

MARCH 13, 2023

The lure of applied AI Across the board, CIOs and other IT leaders are hiring software engineers, machine learning engineers, data scientists, digital project managers, and cloud professionals, and many are, in fact, offering them the opportunity to work on impactful and innovative projects.

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Healthcare Real Estate Artificial Inteligence Machine Learning 246

TechCrunch

OCTOBER 18, 2022

Once the port is implanted in the chest and the catheter goes through a patient’s heart, the device captures images of blood cells and then compresses the data and sends it to the cloud, after which it is analyzed via machine learning.

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Pharmaceuticals Testing Exercises Trends 228

AWS Machine Learning - AI

FEBRUARY 6, 2024

Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Because of the sensitive nature of the data and effort involved, pharmaceutical companies need a higher level of control, security, and auditability. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

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TechCrunch

APRIL 21, 2022

Reid also claims a higher level of automation for its machines — which, to be clear, are still at prototype stage. But bioreactors were only very recently only found in biotech and pharmaceutical laboratories and aren’t exactly designed for easy operation and customization. To operate it, you don’t need a Ph.D.,

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Hardware Off-The-Shelf Biotech Pharmaceuticals 233

TechCrunch

DECEMBER 15, 2021

Generate Bio, which just raised a $370 million Series B , has also used a machine learning approach. . That may occur through collaboration with a pharmaceutical partner, though the company hasn’t ruled out creating a drug pipeline of its own. . Matheu calls it “natural intelligence” as opposed to artificial intelligence. .

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System Artificial Inteligence 3D Pharmaceuticals 203

TechCrunch

MARCH 23, 2021

Orbillion couples that with a high throughput screening and machine learning software system to build out a database of optimized tissue and media combinations. .” Startups making meat alternatives are gaining traction worldwide. The company runs its multiple cell lines through a system of small bioreactors.

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CTO Machine Learning Artificial Inteligence Pharmaceuticals 252

TechCrunch

JUNE 22, 2021

For instance, Insilico Medicine has collaborated with Pfizer on novel target discovery, and Johnson & Johnson on small molecule design, and done both with Taisho Pharmaceuticals. Today, the company also announced a new partnership with Teva Branded Pharmaceutical Products R&D, Inc.

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Artificial Inteligence Pharmaceuticals Artificial Intelligence Technical Review 235

CIO

MAY 10, 2023

focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

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Enterprise Artificial Inteligence Healthcare Pharmaceuticals 130

Perficient

FEBRUARY 21, 2024

Since 2022, Nico has served as lead architect for a groundbreaking clinical data review platform at a global pharmaceutical leader. With a passion for technology and an innate drive for innovative solutions, Nico brings a wealth of experience in architecting intricate solutions to real business challenges.

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Generative AI Pharmaceuticals Data Technical Review 52

TechCrunch

OCTOBER 20, 2021

Healx’s platform, called Healnet , uses machine learning to crawl through data on existing drugs, and potential disease targets, to find new connections. Others have managed to strike deals with major pharmaceutical companies. . At the moment, Healx is focusing on rare diseases.

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Artificial Inteligence Study Artificial Intelligence Pharmaceuticals 243

DataRobot

JULY 22, 2021

Retailers, manufacturers, and pharmaceutical companies all have struggled to align production and stocking with rapid shifts in demand. Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times.

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Retail Artificial Inteligence eBook Machine Learning 52