TechCrunch

MARCH 17, 2023

Best practices for leveraging artificial intelligence and machine learning in 2023 Zero-based budgeting: A proven framework for extending runway Image Credits: Getty Images It’s critical to make every dollar count in this environment, but pulling back too much in the wrong places can reduce momentum across your entire organization. “The

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Crunchbase News

APRIL 5, 2024

Biotech took center stage, notching three of the top four rounds. Obsidian Therapeutics , $161M, biotech: It was another big week for biotech startups raising huge sums of cash. Alterome Therapeutics , $132M, biotech: Oncology biotech Alterome Therapeutics raised a $132 million Series B led by Goldman Sachs Alternatives.

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Biotech Energy Software Review Systems Review 93

TechCrunch

NOVEMBER 16, 2022

Their machine learning models take in easily collected RNA sequence data and predict the structure a protein will take — a step that used to take weeks and expensive special equipment. The company emerged from stealth today with a substantial seed round. The Cradle team on a nice day at their HQ (van Grieken is center).

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TechCrunch

DECEMBER 2, 2020

Sifting through the trillions of molecules out there that might have powerful medicinal effects is a daunting task, but the solution biotech has found is to work smarter, not harder. Machine learning has, of course, accelerated work in many fields, biochemistry among them, but he felt that the potential of the technology had not been tapped.

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TechCrunch

SEPTEMBER 13, 2022

French biotech company WhiteLab Genomics has raised $10 million in funding for an AI platform designed to aid the discovery and development of genomic therapies. “Gene and cell therapies still suffer from poor efficacy, immunological secondary effects and very high development cost,” Del Bourgo explained to TechCrunch.

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TechCrunch

NOVEMBER 22, 2022

Image Credits: RedBrick AI additionally provides APIs that machine learning engineers can integrate with their cloud solutions and clinical data stores, including hospital enterprise PACS servers. For annotating complex 3D medical images, it also has semi-automated tools.

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TechCrunch

AUGUST 10, 2022

Hong Kong-based drug discovery and development company Insilico has secured fresh capital at a time that its CEO described as a “biotech winter.” Insilico uses machine learning to identify potential drug targets and eventually create the drug.

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TechCrunch

MAY 26, 2021

So a new crop of biotech companies have worked to integrate these aspects. 2021 should be a banner year for biotech startups that make smart choices early. Engine does so with a pair of tools it has dubbed NetMAPPR and CombiGEM.

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TechCrunch

APRIL 12, 2022

“Searching for the right solution led the team deep into machine learning techniques, which came with requirements to use large amounts of data and deliver robust models to production consistently … The techniques used were platformized, and the solution was used widely at Lyft.”

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TechCrunch

JUNE 10, 2022

The world of AI-powered drug discovery keeps expanding as the capabilities of machine learning grow. And in order to create an effect, you must first understand that target, specifically how the chain of amino acids making up the protein “folds” under different circumstances.

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TechCrunch

JUNE 1, 2021

Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company leverages machine learning and a large body of knowledge about chemical reactions to create these processes, though as CSO Stanis?aw odarczyk-Pruszy?ski

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TechCrunch

OCTOBER 6, 2022

It is then tech and industry agnostic, which means that these companies can be hardware, software but also deeptech, biotech or fintech startups.

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TechCrunch

JANUARY 25, 2022

The Tunisian startup, headquartered in London with offices in Paris, Tunis, Lagos, Dubai and Cape Town, uses advanced machine learning techniques to bring AI to applications within an enterprise environment. Other examples are the design of advanced therapeutics with silicon and routing components on a printed circuit board.

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TechCrunch

JANUARY 31, 2022

It’s also a key pillar of Gandeeva, a new biotech company that emerged from stealth on Monday with a $40 million Series A round. The company plans to combine this high-resolution imagery with a suite of machine learning tools to speed up the process of drug discovery. “It Image Credits: Gandeeva Therapeutics.

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Crunchbase News

DECEMBER 8, 2023

Seismic Therapeutic , $121M, biotech: Cambridge, Massachusetts-based Seismic Therapeutic led the way for biotechs this week — although it is far from the only biotech on this list. The machine-learning immunology company closed a $121 million Series B led by new investor Bessemer Venture Partners.

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TechCrunch

JANUARY 25, 2023

The biotech industry is experiencing a rush of AI-powered tools for many aspects of the complex drug discovery process. And combined with other machine learning work, we have been able to dramatically improve both the speed and accuracy from the paper.”

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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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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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TechCrunch

JANUARY 10, 2023

German-based biotech company BioNTech — one of the big manufacturers of COVID-19 vaccines, among other things — is set to acquire InstaDeep , a Tunis-born and U.K.-based Startups and VC. based AI startup for up to £562 million (~$680 million) in its largest deal yet, Tage reports.

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TechCrunch

APRIL 21, 2021

There are any number of seed rounds that cross our desks every day, a never-ending march of enterprise software, consumer apps, games, hardware, biotech and sometimes even a space startup. So when Affect’s $1 million seed round from AlleyCorp came to my attention, I wanted to learn a bit more. Let’s hope.

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TechCrunch

JANUARY 8, 2021

The other one is the WISE-2410, a vibration sensor for monitoring motor-powered mechanical equipment and identifying potential issues so manufacturers can schedule maintenance before machines malfunction, resulting in expensive downtime. Systems & Technology Corp.

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Crunchbase News

APRIL 2, 2024

Wonder ’s big $700 million raise may have captured most people’s attention last month, but the story when it came for large deals was really biotech. Mirador Therapeutics , $400M, biotech: It was a huge month for big biotech raises and this was the biggest. Check out the biggest rounds of last month here.

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Biotech Generative AI Automotive Data Center 112

CIO

NOVEMBER 30, 2022

With the $5 billion biotech company expanding from R&D and manufacturing into clinical-based genomic health, Rollins sees IT playing an increasingly critical role in business growth and patient care. They adopt what is clearly becoming the gold standard of IT and business team integration: a capabilities (or product) management model.

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Biotech Strategy Leadership Transportation 260

TechCrunch

APRIL 30, 2021

Later legislation required biotech and pharma companies to disclose monies paid to research partners. It required healthcare institutions (such as hospitals and healthcare systems) to publish data on costs and outcomes. This included the release of detailed data on providers. And every physician in the U.S.

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Healthcare Data Biotech Systems Review 184

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%).

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TechCrunch

JANUARY 31, 2023

InstaDeep utilizes advanced machine learning techniques, including deep reinforcement learning in applications within an enterprise environment that cuts across various industries such as biotech, transportation, electronics manufacturing and logistics.

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Technical Review Biotech Systems Review Software Review 248

TechCrunch

SEPTEMBER 30, 2021

Then, a software suite called ActivInsight would analyze the data collected, and apply machine learning algorithms to help identify even more features that would otherwise be invisible to surgeons. . “We ” This machine learning application won’t be rolled out right away.

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TechCrunch

MAY 20, 2022

With cloud-based servers and sophisticated, yet inexpensive, sensors both on the body and off, patients can be monitored at home more effectively than in a hospital, especially when the sensor data is analyzed with artificial intelligence (AI) and machine-learning technology. Opportunities for digital biomarkers.

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Artificial Inteligence Artificial Intelligence Healthcare Technical Review 231

TechCrunch

MAY 28, 2021

The city’s tech ecosystem appears to have a robust space for machine learning, artificial intelligence, biomedicine, fintech, travel tech, oil, renewables, e-commerce, gaming, health tech, deep tech, space tech and insurtech. Strong in machine learning/AI/digital. Lysimachos Zografos, founder, Parkure.

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Technical Review Artificial Inteligence Weak Development Team Fintech 235

TechCrunch

JANUARY 18, 2022

However, experts have also raised concerns that de-identified data could be “re-identified” through a combination of machine learning or combination with other data sets. EHR analysis, for instance, has facilitated studies on the real-world safety and effectiveness of COVID-19 vaccines extremely quickly.

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TechCrunch

SEPTEMBER 8, 2022

“In addition to DNA storage, Catalog has already discovered the means to incorporate DNA into algorithms and applications with potential widespread cases including artificial intelligence, machine learning, data analytics and secure computing.

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Storage Artificial Inteligence Data Chemicals 206

TechCrunch

AUGUST 17, 2022

Incredible Health said the new funding will go on supporting initiatives to help health systems and their employees manage surging patient care demand — including through o ptimizing hiring workflow with the use of machine learning technology (which it says will include “screening and matching”) to increase process automation and (..)

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O'Reilly Media - Ideas

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

Machine Learning 16

Machine Learning Artificial Inteligence Banking Enterprise 16

TechCrunch

NOVEMBER 18, 2021

The company is also building two facilities to expand its wet lab, machine learning and data generation capabilities. . With this current round of funding, Generate Biomedicines plans to scale up its workforce to 500 — the company has 80 employees at the moment.

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Artificial Inteligence Artificial Intelligence Machine Learning Report 211

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). The answer is a resounding no.

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Machine Learning Artificial Inteligence Software Review Technical Review 78

TechCrunch

AUGUST 16, 2021

BrainQ has deployed machine learning and a large collection of data to better understand how to target those networks. Our technology uses explanatory machine learning algorithms to observe the natural spectral characteristics and derive unique therapeutic insights.

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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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