PR83621

REDMOND, Washington, Apr. 14, 2020 /PRNewswire=KYODO JBN/--

- Pattern Computer has received positive national lab results for combination

therapy drug candidates targeting basal-like breast cancer

Pattern Computer(R), Inc. (

https://c212.net/c/link/?t=0&l=en&o=2772580-1&h=1563465989&u=http%3A%2F%2Fwww.patterncomputer.com%2F&a=Pattern+Computer%C2%AE%2C+Inc.

) has received confirmation from Lawrence Berkeley National Laboratory that

drug therapy combinations it identified using its proprietary machine learning

pattern discovery system are effective in killing malignant breast cancer

tumors. Notably, the Pattern Computer team chose to go after basal-like or

"triple negative" breast cancer because it represents 15-20% of breast cancer

patients, is aggressive, and has no effective drugs available. For further

technical detail, go to https://www.patterncomputer.com/news/lbnl/.

Logo - https://mma.prnewswire.com/media/1143036/Pattern_Computer_Logo.jpg

"We're very excited by the two-tier bio-validation results we've just received

for our combination therapy candidates, which we filtered for drugs that were

already individually FDA-approved or in process. This was our first project in

biotech, and we are hopeful for many future successes along the path to

developing a treatment for this and other cancers and diseases," said Mark R.

Anderson, CEO of Pattern Computer.

The two therapy treatments successfully completed final in vitro organoid

testing at Lawrence Berkeley National Laboratory, demonstrating "significant

synergistic interaction" in killing malignant tumor cells, with statistically

"low-to-no adverse effects" on healthy cells. With these results, Pattern

Computer will proceed to the next phase of preclinical testing.

"We appreciate our results are still relatively early; we're therefore

approaching these next steps with due care and caution," Anderson said, "but

we're encouraged by the biological validation we are seeing to date of our

computational models in this area. We are delighted to be working with Lawrence

Berkeley National Labs on confirming these findings."

Pattern Computer, a Seattle-area startup, uses its proprietary Pattern

Discovery Engine (TM) to solve the most important and intractable problems in

business and medicine. The company's proprietary mathematical techniques can

find complex patterns in very high-order data which have eluded detection by

much larger systems.

While the company is currently applying its computational platform to the

challenging field of drug discovery, it is also making pattern discoveries for

partners in several other sectors, including additional biomedical research,

materials science, aerospace manufacturing, veterinary medicine, air traffic

operations, and finance.

FOR CUSTOMERS AND PARTNERS, CONTACT:

Nick Psyhogeos

+1-425-829-0467

inquiry@patterncomputer.com;

FOR INTERVIEWS, CONTACT:

Denyse Hudson

+1-360-298-0658

denyse@patterncomputer.com

SOURCE: Pattern Computer