Dataiku

MARCH 2, 2021

According to a survey of 1,200 global companies sponsored by Dataiku in September 2020, 66% of life sciences or pharmaceutical organizations believe AI is either considerably or very important to the future of their business. This goes to show the immense potential that AI and machine learning have in the pharmaceutical industry.

Pharmaceuticals 105

Pharmaceuticals Machine Learning Artificial Inteligence Survey 105

CIO

AUGUST 11, 2023

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology.

Artificial Inteligence 355

Artificial Inteligence Technical Review Artificial Intelligence Systems Review 355

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. Artificial Intelligence, CIO 100, Healthcare Industry

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Artificial Inteligence Healthcare Weak Development Team Machine Learning 257

AWS Machine Learning - AI

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

Generative AI 133

Generative AI AWS Artificial Inteligence Innovation 133

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.

Analytics 362

Analytics Data Artificial Inteligence Healthcare 362

Dataiku

NOVEMBER 25, 2020

These are massive numbers and, while true that research and discovery are a key part of the life sciences and pharmaceuticals value chain, data science, machine learning, and AI can play a valuable role across its entirety. Total spending on AI-related drug discovery and development tools is expected to hit $1.3

Pharmaceuticals 105

Pharmaceuticals Marketing Machine Learning Artificial Inteligence 105

CIO

NOVEMBER 11, 2022

Three years ago, Johnson & Johnson (J&J) set out to apply intelligent automation (IA) to every aspect of its business. By combining RPA with machine learning (ML) and artificial intelligence (AI), they sought to automate more complex tasks. Artificial Intelligence, Robotic Process Automation

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Artificial Inteligence Pharmaceuticals Artificial Intelligence Technical Review 306

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.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 72

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

Perficient

JANUARY 4, 2024

As we step into 2024, the transformative impact of Artificial Intelligence (AI) and generative AI on enterprise-level organizations has reshaped the business landscape in profound ways.

Artificial Inteligence 72

Artificial Inteligence Generative AI Artificial Intelligence Pharmaceuticals 72

CIO

SEPTEMBER 18, 2023

The latest piece in her reinvention story is Synchrony’s new Tech Apprenticeship for Artificial Intelligence, a full-time, 12-month program that balances on-the-job learning with instructor-led training, providing Chavarin with a pathway into one of the most coveted technology spaces despite her very nontraditional IT background.

Technical Review 340

Technical Review Pharmaceuticals Security Training 340

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.

Machine Learning 40

Machine Learning Artificial Inteligence Pharmaceuticals Journal 40

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.

Pharmaceuticals 182

Pharmaceuticals Artificial Inteligence Healthcare Machine Learning 182

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.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

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.

Chemicals 187

Chemicals Biotech Artificial Inteligence Pharmaceuticals 187

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.

Technical Review 261

Technical Review Pharmaceuticals Authentication Quality Assurance 261

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

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.

Pharmaceuticals 170

Pharmaceuticals Artificial Inteligence Development Machine Learning 170

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.

Generative AI 98

Generative AI AWS Lambda Technical Review 98

TechCrunch

DECEMBER 15, 2021

Generate Bio, which just raised a $370 million Series B , has also used a machine learning approach. . Prellis’ approach is to model the immune system in miniature and develop a cadre of drug candidates by mining immune responses. Matheu calls it “natural intelligence” as opposed to artificial intelligence. .

System 203

System Artificial Inteligence 3D Pharmaceuticals 203

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. ” This absolutely bare-bones model wiped the floor with others, as disclosed in a front-page article published in Science in 2021. . It’s vastly underexplored.”

Pharmaceuticals 202

Pharmaceuticals Biotech Machine Learning Artificial Inteligence 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.

Pharmaceuticals 234

Pharmaceuticals Games Machine Learning Artificial Inteligence 234

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.

Industry 260

Industry Cloud Technical Review Pharmaceuticals 260

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.

Biotech 258

Biotech Development Pharmaceuticals Machine Learning 258

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. . Healx’s approach happens to be artificial intelligence. .

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Artificial Inteligence Study Artificial Intelligence Pharmaceuticals 243

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.

Meeting 213

Meeting VR Insurance Pharmaceuticals 213

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.

Artificial Inteligence 235

Artificial Inteligence Pharmaceuticals Artificial Intelligence Technical Review 235

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.

Healthcare 246

Healthcare Real Estate Machine Learning Artificial Inteligence 246

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.

Enterprise 130

Enterprise Artificial Inteligence Healthcare Pharmaceuticals 130

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.

Pharmaceuticals 307

Pharmaceuticals Virtualization Machine Learning Artificial Inteligence 307

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.

Retail 52

Retail Artificial Inteligence eBook Machine Learning 52

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?

Pharmaceuticals 201

Pharmaceuticals Machine Learning Artificial Inteligence Testing 201

N2Growth Blog

OCTOBER 23, 2023

A solid grasp of the latest advancements across biotechnology, pharmaceuticals, and medical devices is essential in driving innovations and the ability to synthesize information and translate it into actionable strategies quickly. This ability to bridge the gap between science and strategy is crucial in such a highly dynamic space.

Biotech 175

Biotech Strategy Artificial Inteligence Recruiting 175

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.

Culture 233

Culture Pharmaceuticals Machine Learning Artificial Inteligence 233

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.

Pharmaceuticals 228

Pharmaceuticals Testing Exercises Trends 228

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.

CTO 252

CTO Machine Learning Artificial Inteligence Pharmaceuticals 252

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.,

Hardware 233

Hardware Off-The-Shelf Biotech Pharmaceuticals 233