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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TechCrunch

FEBRUARY 11, 2021

Just three years after its founding, biotech startup Immunai has raised $60 million in Series A funding, bringing its total raised to over $80 million. “I hope it doesn’t sound corny, but we don’t have the luxury to move more slowly,” explained Immunai co-founder and CEO Noam Solomon in an interview.

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Crunchbase News

SEPTEMBER 4, 2024

You had to raise more than $150 million to make the top 10 list this month — as investors put money into everything from defense tech to semiconductors to biotech. GondolaBio , $300M, biotech: BridgeBio Pharma spun off GondolaBio this month, a biotech focused on early-stage genetic disease treatments. billion.

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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

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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Crunchbase News

DECEMBER 8, 2023

X.AI , $135M, artificial intelligence: You may have heard Elon Musk has an artificial intelligence startup to compete with OpenAI. 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.

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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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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

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

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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Perficient

SEPTEMBER 25, 2024

AI-Powered Insights : Leverage artificial intelligence to analyze vast amounts of clinical trial data, automatically identify anomalies, and support improved decision-making. That’s where artificial intelligence (AI) models can step in , analyzing and extracting meaning from mountains of raw information.

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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

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

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

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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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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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.

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TechCrunch

NOVEMBER 18, 2021

Generate Biomedicines’ approach is to use artificial intelligence to understand what other functional proteins we might be capable of making, as opposed to identifying untapped extant proteins. . The company is also building two facilities to expand its wet lab, machine learning and data generation capabilities. .

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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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Perficient

MAY 21, 2024

Our Industry Expertise Discover why the largest life sciences organizations – including 14 of the top 20 pharma/biotech firms and 6 of the top 10 CROs, and 14 of the top 20 medical device organizations – have counted on our world-class industry capabilities and experience with leading technology innovators.

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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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TechCrunch

AUGUST 12, 2022

The company’s machine learning-powered preventative care aims to predict and avoid dangerous (and costly) medical crises, saving everyone money and hopefully keeping them healthier in general — and it has raised $45 million to scale up. And in this case the AI was trained on 65 million anonymized medical records.

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TechCrunch

OCTOBER 13, 2021

We’re taking a data-first approach to artificial intelligence, building the technology necessary to turn disparate healthcare data into high-quality, computable data,” said Kaushik. The startup’s differentiator, though, is that it has spent years building up a database of what it claims is the most representative data out there.

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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. . Matheu calls it “natural intelligence” as opposed to artificial intelligence. . Prellis’ approach is to model the immune system in miniature and develop a cadre of drug candidates by mining immune responses.

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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. Healx’s approach happens to be artificial intelligence. . Healx’s clinical trial on potential Fragile X drugs will be the company’s first on a repositioned drug.

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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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Existek

SEPTEMBER 28, 2023

With the major progress in all sub-domains of artificial intelligence, the demand for AI developers has tremendously increased. And the main focus remains on implementing and integrating artificial intelligence into the project deliverables. Therefore, it’s required to obtain good skills in data science.

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TechCrunch

OCTOBER 18, 2021

The basic idea makes perfect sense: build a better small-scale simulation of a human body and use it to gather data that a machine learning system can easily interpret. ” Avalo uses machine learning to accelerate the adaptation of crops to climate change.

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Altexsoft

AUGUST 27, 2022

All these prompt the pharma industry to seek help from new technologies — and namely, artificial intelligence (AI) which holds a promise to speed up and otherwise improve drug discovery. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. What is drug discovery?

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TechCrunch

SEPTEMBER 16, 2021

Hewitt said this initiative was one of the most valuable efforts of engineering the company has invested in to date because it has lead to cross validation, which is used to test the ability of the machine learning model to predict new data, as well as flag problems like selection bias and overfitting.

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Altexsoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. The use of knowledge graphs has become widespread in machine learning too. While graph databases can store such data, there’s a problem with using them for machine learning tasks.

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TechCrunch

NOVEMBER 22, 2022

Artificial intelligence has become ubiquitous in clinical diagnosis. “We see ourselves building the foundational layer of artificial intelligence in healthcare. Healthtech startup RedBrick AI has raised $4.6 But researchers need much of their initial time preparing data for training AI systems.

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TechCrunch

JUNE 22, 2022

Vignesh Chandramouli. Contributor. Share on Twitter. Vignesh Chandramouli , a partner at Oak HC/FT, focuses on growth equity and early-stage venture opportunities in healthcare. For years, automation has been a key driver of transformation across industries, changing the way companies and entire sectors operate. However, healthcare, a $4.1

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TechCrunch

JANUARY 16, 2021

Some people are more excited by emerging areas like artificial intelligence, which has been a focus of the country’s military for years, and like cybersecurity is now producing many fresh teams of founders. A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies.

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Apiumhub

SEPTEMBER 18, 2019

Intelligent software analysis for pest and disease prediction, soil management and other involved analytical tasks. The machinery used on farms will be operated using smart technology and the artificial intelligence of robots. SeeTree develops and offers a machine learning based data-driven solutions for orchard growers.

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BrainStation Technology

NOVEMBER 19, 2019

and machine-learning job positions in a single U.S. Today they house the computer engineers developing the Google cloud and applying artificial intelligence at Facebook in building after building.”. Startup Genome’s report found that New York boasted the highest percentage of A.I. It’s New York.

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Crafty CTO

APRIL 17, 2023

Schank was “ a foundational pioneer in the fields of artificial intelligence, cognitive science, and learning sciences ,” truly one of the original AI visionaries. For example, I recently talked with the CEO of a biotech investment fund. But in a sense, Schank was ~43 years too early.

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