machine learning

UTA Study Shows Machine Learning Technique Is 30% Better at Predicting Cancer Cure Rates

by | Dec 6, 2023
UT Arlington principal investigator Dr. Suvra Pal said that previous studies modeling the probability of a cancer cure—also called the cure rate—"used a generalized linear model." The new statistical modeling method published by Pal and his student is said to be 30% more effective in predicting who will be cured of cancer and who will need further treatment.
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Techstars Fort Worth Picks 10 Physical Health Startups in Year Two of Accelerator
by | Sep 30, 2023
The Techstars program pumped up the volume in its second year, reviewing more than 3,500 applications—four times more than last year. Founders from around the world will travel to Fort Worth for the "one-of-a-kind," whole health-focused program.
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Tango CEO on How His Firm’s WatchWire Acquisition Creates a Real Estate Management Powerhouse
by | Aug 14, 2023
North Texas-based Tango—a Berkshire portfolio company—says the acquisition expands the global footprint of its own next-gen real estate management platform. And by leveraging WatchWire's proprietary data ingestion engine, the merged entity brings Tango squarely into the sustainability and energy management space. The result? "Bridging the gap" between landlords and tenants, says Tango founder and CEO Pranav Tyagi.
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Caris Life Sciences and ConcertAI Announce New Clinico-Genomic Research Platform

by | Jun 1, 2023
Expanding a collaboration they announced in January, the two companies aim to drive "the future of cancer care" with the new platform, enabling novel insights for precision medicine, therapeutic development, and clinical trials management for academic and biopharma researchers.
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Busting the Brain’s Firewall: How Lantern Pharma’s Algorithms Can Predict a Drug’s Ability to Reach the Brain
by | May 2, 2023
The "blood-brain barrier" acts like a highly selective firewall, preventing an estimated 98% of drugs from entering the brain—making it a major hurdle in the development of brain and central nervous system drugs. Lantern Pharma has recently developed what it calls "highly accurate AI algorithms" to predict the ability of a drug or compound to pass through the barrier.
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Following Series A Investment, Logile Launches AI-Driven Forecasting Pilot Program for Retailers
by | Mar 28, 2023
The Southlake-based company says retailers can sign up and use what it calls the industry's most powerful, accurate AI and ML-driven metric forecasting through a fully automated self-serve platform—all at no obligation. "We're confident retailers will be intrigued and delighted when they compare our automated forecast results with their actuals and legacy forecasts," says Founder and CEO Purna Mishra.
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Lantern Pharma Adds VP of Clinical Development, Additional Team Members
by | Mar 2, 2023

Dallas-based Lantern Pharma Inc. has expanded its clinical development team with the addition of Dr. Reggie Ewesuedo as vice president of clinical development, and several additional team members....

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Lantern Pharma’s New Drug Candidate for Mantle Cell Lymphoma Shows Promise

by | Dec 22, 2022
The Dallas-based biopharmaceutical company expects to begin testing the drug candidate in a “first in human” trial in mid-2023. The drug was developed using the publicly traded company’s AI/ML drug development platform.

Lantern, in collaboration with the National Cancer Institute, recently published insights on how AI can be used to find new indications for cancer drugs in record times with significant reductions in costs.
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From left: Abidali Neemuchwala and Dayakar Puskoor [Photo: Dallas Venture Capital]
‘Cross-Border VC’: Dallas Venture Capital Raises $80M to Invest Alongside Its $50M India Fund
by | May 25, 2022
Dallas Venture Capital is "poised to bootstrap two large start-up ecosystems in the U.S. and India," says co-founder Dayakar Puskoor.

The venture firm—which has an office in Irving and another in Hyperabad, India—plans a combined deployment of the funds over four to five years.
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With $4M in Funding, Dallas Startup Aims to Streamline the Hiring Process
by | May 11, 2022
Dallas-based software startup HireLogic aims to improve the job interview process with its AI- and machine learning-powered platform, designed to help automate the screening process. Its CEO says he wants to help companies "gain insights from interview data to make faster, better hiring decisions."
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Neiman Marcus Group Gets $200M in Farfetch Deal
by | Apr 5, 2022
The investment from London-based online luxury retail marketplace Farfetch makes it a new minority owner of Neiman Marcus Group. It will also be a partner, helping NMG expand its reach globally via digital customer experiences and curated offerings on Farfetch’s platform.
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SMU Study Uses Drones and Machine Learning to Find ‘Infrastructure Desert’ Neighborhoods in Dallas

by | Feb 22, 2022
The study by a team of SMU civil engineering researchers was supported by a five-year, $584,000 National Science Foundation grant. The team hopes that their study will lead to equitable improvements in the identified neighborhoods—with better groceries, internet access, noise walls, crosswalks, hospital access, bike trails, and more.
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Farms of the Future: Alphabet-Backed Vertical Farming Startup Plans New Site in Arlington
by | Feb 16, 2022
New York-based Bowery Farming is a vertical farming startup that aims to lead "the next generation of agriculture." Valued at $2.3 billion and backed by Alphabet's VC investment arm GV, it will create 100 jobs at its new indoor farm in Arlington—where software, sensors, and machine learning will help things grow.
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Local Startup Aims to Save Peoples’ Sight with Video Games
by | Feb 7, 2022
McKinney-based BALANCED Media|Technology, SMU, and the Retina Foundation of the Southwest are collaborating to commercialize technology to fight age-related macular degeneration. Using a crowdsourced video game, players help the team create new data sets out of captured retinal images, helping to lead to potential breakthroughs in detection and treatment.
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$11.5M NVIDIA Collaboration Will Put SMU ‘in the Fast Lane for Artificial Intelligence’
by | Nov 11, 2021
SMU is investing $11.5 million into a powerful new supercomputing research system featuring an NVIDIA DGX SuperPOD. Connected with the NVIDIA Quantum InfiniBand networking platform in SMU's data center, it will produce a theoretical 100 petaflops of computing power—enabling the university's network to perform "a blistering 100 quadrillion operations per second." The new capability will supercharge SMU's AI and supercomputing exploration, boosting North Texas' growth as a technology hub.
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