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BioWorld - Wednesday, February 4, 2026
Home » AI

Articles Tagged with ''AI''

Bridge Biotherapeutics taps Atomwise in potential $1B AI-based discovery deal

March 10, 2020
By Michael Fitzhugh
South Korea's Bridge Biotherapeutics Inc. has enlisted San Francisco-based AI drug discovery shop Atomwise Inc. to help it identify up to 13 small-molecule inhibitors of Pellino proteins and other targets in an effort to develop new therapies for inflammatory diseases. Atomwise stands to receive an up-front payment of undisclosed value, as well as milestone and royalty payments under terms of the deal. Presuming success, it estimates the partnership's payoff could reach up to $1.08 billion.
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Hand holding money plant

MBD and Azothbio partner for rare cancer drug using AI modeling technology

March 3, 2020
By Jihyun Kim
HONG KONG – MBD Co. Ltd. and Azothbio Inc., both based in South Korea, have entered an agreement for rare cancer drug development using an AI-powered drug discovery platform.
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Kaipharm secures $4.2M in series A funding for drug-induced transcriptome database

Feb. 18, 2020
By Jihyun Kim
HONG KONG – South Korea’s AI-based biotech venture, Kaipharm Co. Ltd. has secured ₩5 billion (US$4.22 million) in series A funding. Founded in 2018, the firm has attracted a total of ₩7 billion in investments. Kaipharm will generate a reference dataset of 2,000 drugs (KMAP_2K) using next-generation sequencing (NGS). The dataset will include all the FDA-approved drugs to date.
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Robotic and human hands touching computer screen
Data rich environment

Artificial intelligence: pushing the boundaries of drug development

Dec. 30, 2019
By Peter Winter
The next wave of drug discovery is being enabled by artificial intelligence (AI). This fact has not been lost on investors, who are keeping a close watch on emerging biopharma companies that are using AI and machine learning to enable the discovery of next-generation medicines.
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Head filled with digital data
Newco news

China’s first AI microbiome firm Xbiome raises over $14M in series B

Nov. 26, 2019
By Elise Mak
BEIJING – Shenzhen-based Xbiome Co. Ltd., said to be China’s first AI-based microbiome drug development company, closed a series B financing round to pocket ¥100 million (US$14 million).
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Newco news

China’s first AI microbiome firm Xbiome raises over $14M in series B

Nov. 21, 2019
By Elise Mak
BEIJING – Shenzhen-based Xbiome Co. Ltd., said to be China’s first AI-based microbiome drug development company, closed a series B financing round to pocket ¥100 million (US$14 million).
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Azoth and Wellmarker Bio to collaborate in AI-based cancer drug development

Nov. 4, 2019
By Jihyun Kim
HONG KONG – South Korean AI-based biotech Azoth Bio Inc., of Seongnam, Gyeonggi-do, and biopharmaceutical venture Wellmarker Bio Co. Ltd., based in Seoul, have signed a memorandum of understanding for cancer drug R&D and commercialization. Under the agreement, the two entities will use Azoth's AI-powered platform to develop Wellmarker's cancer treatment candidates.
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AI company Pepticom raises $5M in a series A financing

Oct. 25, 2019
By Lee Landenberger
Privately held Pepticom Ltd., of Jerusalem, completed a $5 million series A fundraising, allowing it to use artificial intelligence (AI) in helping research centers, pharma and agriculture companies discover advanced peptide-based drug candidates.
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2019 Medical Innovations Summit

Panel discusses critical gaps in AI in health care

Oct. 23, 2019
By Liz Hollis
CLEVELAND – What are some of the biggest challenges related to using artificial intelligence (AI) in health care? A panel of experts tackled that question during a session Tuesday during the 2019 Medical Innovations Summit, while also discussing what their organizations have done in that space to advance patient care.
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Paper proposes a code of ethics for AI in radiology

Oct. 4, 2019
By Mark McCarty
The field of artificial intelligence (AI) in medical practice is in its infancy, but a group of medical societies has published a paper that proposes the development of a code of ethics for artificial intelligence (AI) in radiology. The paper underscores a number of concerns, including that some developers fail to fully appreciate the potential consequences of seemingly innocent slip-ups in the development and validation of that algorithm.
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