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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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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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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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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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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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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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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TechCrunch

MARCH 9, 2021

Overall, it had about 500 customers as of January across a range of industries from technology to pharmaceutical to aerospace and defense to banking. Over the years, SeekOut has built out a database with hundreds of millions of profiles using its AI-powered talent search engine and “deep interactive analytics.”

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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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TechCrunch

MAY 31, 2022

The appetite for genomic data continues to rise in the field of biotech and pharmaceutical research, but cost is still a factor — even sequencing a full genome now costs as little as $1,000. The third advance involves machine learning to accelerate the process of turning optical data (the CD-style scanning signal) into usable data.

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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 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

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 Artificial Inteligence 213

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.

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CIO

OCTOBER 1, 2024

And while analysts expect a somewhat swift resolution to the work stoppage, “CIOs need to stay tuned into what’s happening around the globe and be thoughtful how it might affect their ability to operate,” said Bob McCowan, CIO at Regeneron Pharmaceuticals. Nate Melby, CIO of Dairyland Power Cooperative in Lacrosse, Wisc.,

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TechCrunch

NOVEMBER 3, 2020

In the areas of enterprise and government, Dalporto described a number of scenarios where Udacity is already active, which are natural progressions of the kind of vocational learning it was already offering. ” He said that the program in Egypt has seen an 80% graduation rate and 70% “positive outcomes” (resulting in jobs).

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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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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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Exadel

OCTOBER 12, 2022

Decades ago, it would have been hard to see how AI and Machine Learning (ML) could have been applied in healthcare. Machine Learning can help with: identifying patients at risk by analyzing their test blood samples, DNA, and medical images. developing new pharmaceuticals. developing new pharmaceuticals.

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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

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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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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Dataiku

AUGUST 26, 2022

Despite years of hype, AI is still in its infancy in the pharmaceutical industry (feel free to reach out to me for a lively debate if you disagree). Moreover, let’s all admit to ourselves that, when we say “AI,” we broadly include machine learning (ML), data science, and really any efforts that advance digitization.

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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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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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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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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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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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TechCrunch

SEPTEMBER 13, 2021

Using machine learning, Capiter says it helps these manufacturers gain critical insights into the markets they serve, the products they sell, and how they fair with competition. According to Ahmed Nouh, the company’s COO, Capiter will expand into new verticals like agriculture and pharmaceutical offerings.

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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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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

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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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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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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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

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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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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