TechCrunch

OCTOBER 28, 2021

Breakstone and Ben-Ami have recruited talent from the research and pharmaceutical industries, along with alumni from Google, Chorus.ai The platform is able to remove light and movement from videos using AI and machine learning to get a more precise video. and Viz.ai.

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Altexsoft

FEBRUARY 1, 2019

According to McKinsey , machine learning and artificial intelligence in pharma and medicine are going to revolutionize the industries to help them make better decisions, optimize innovations, improve the efficiency of clinical and research trials, and provide for new tools for physicians, consumers, regulators, and even insurers.

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TechCrunch

FEBRUARY 10, 2022

Toronto-based ODAIA , an AI-powered commercial insights platform for pharmaceutical companies, has raised $13.8 The platform combines data analysis, process mining and AI to offer predictive analytics to pharmaceutical and life sciences commercial teams. million in Series A funding led by Flint Capital.

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Pharmaceuticals Company Analysis Machine Learning 222

CIO

NOVEMBER 4, 2022

For pharmaceutical companies in the digital era, intense pressure to achieve medical miracles falls as much on the shoulders of CIOs as on lead scientists. Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories.

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CIO

SEPTEMBER 30, 2024

Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. “So one tiny little sentence is better for job seekers and employers,” she says.

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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

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

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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TechCrunch

JANUARY 19, 2021

K Health , the virtual healthcare provider that uses machine learning to lower the cost of care by providing the bulk of the company’s health assessments, is launching new tools for childcare on the heels of raising cash that values the company at $1.5 In practice, patients get what they pay for.

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Virtualization Healthcare Pharmaceuticals Machine Learning 232

TechCrunch

APRIL 20, 2021

. “We have really focused our efforts on encrypted learning, which is really the core technology, which was fundamental to allowing the multi-party compute capabilities between two organizations or two departments to work and build machine learning models on encrypted data,” Wijesinghe told me.

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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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CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). From an individual’s perspective, it keeps careers interesting and helps people grow with the organization.

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Technical Review Pharmaceuticals Security Training 340

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

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

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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Machine Learning Artificial Inteligence Software Analytics 72

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 Healthcare AWS 113

Cloudera

NOVEMBER 1, 2020

I’m excited to be presenting at BioData World with Mark Ramsey, PhD , Managing Partner, Ramsey International, about Cloudera’s role in life sciences and use cases at top 5 pharmaceutical organizations on November 11, 2020, at 9:50 am ET. . If you plan to attend, w e look forward to speaking with you next week.

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TechCrunch

JANUARY 25, 2022

For instance, embryonic stem-cell derived islet cells have been able to restore insulin producing capabilities to one man with diabetes, per a clinical trial conducted by Vertex Pharmaceuticals. Meanwhile, the company is developing machine learning algorithms with the ability to pick out subpar cells. .

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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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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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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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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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CIO

MARCH 2, 2023

One of the biggest things I’ve learned is you can’t do automation to the business; you have to do it with the business.” And at the pharmaceutical segment at Cardinal Health, a main goal is to also boost its efforts in warehouse automation to better serve its customers, Boggs says. “In

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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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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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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 Machine Learning Artificial Inteligence 202

TechCrunch

OCTOBER 5, 2021

Andiamo uses machine learning, 3D simulation and 3D printing to create custome braces for children with cerebral palsy, bringing down the cost and improving outcomes for clinicians, patients and families alike. So without any further ado, here are the startups graduating out of the summer 2021 ERA class. departments.

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TechCrunch

SEPTEMBER 7, 2021

” Increasingly, we are seeing approaches that leverage machine learning and big data analytics to better understand individual cancers and how they develop for different populations, to subsequently create more personalized treatments, and Seqera comes into play as a way to sequence that kind of data.

Data 200

Data Artificial Inteligence Machine Learning Pharmaceuticals 200

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 306

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

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

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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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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CIO

AUGUST 18, 2022

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. These processes combine an understanding of customer behavior with the availability of pharmaceutical and retail inventory. “It

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TechCrunch

APRIL 22, 2021

To accomplish this, Medchart makes use of AI and machine learning to create a deeper understanding of the data set in order to be able to intelligently answer the specific questions that data requesters have of the information. So what are the business decision points that you’re trying to make with this data?”

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Palo Alto Networks

AUGUST 2, 2024

But what if the organization rushed that application to market without considering supply chain vulnerabilities in the app ecosystem – including corrupt AI and machine learning (ML) packages and model vulnerabilities?

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Artificial Inteligence Applications Real Estate Pharmaceuticals 100

Perficient

MAY 21, 2024

Clinical trials are integral to the safe and efficient delivery of new pharmaceuticals. Envisioning a Bold, New Clinical Trial Data Collaboration Solution Our client, a top-five pharmaceutical leader, needed an overhaul of its legacy systems to improve efficiency, enhance collaboration, and accelerate development timelines.

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