A Landscape of Artificial Intelligence (AI) In Pharmaceutical R&D

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Cytovia Therapeutics and NYSCF Annouce Filing of Provisional Patent for iPSC-derived NK Cells to Produce Unlimited On-demand NK and CAR-NK Cells for the Treatment of Cancer

   by Charlotte Tomic    160
Cytovia Therapeutics and NYSCF Annouce Filing of Provisional Patent for iPSC-derived NK Cells to Produce Unlimited On-demand NK and CAR-NK Cells for the Treatment of Cancer

(August 25, 2020)--New York, NY--Cytovia Therapeutics, an emerging biopharmaceutical company and the New York Stem Cell Foundation (NYSCF) Research Institute today announced the filing of a provisional patent application with the U.S. Patent & Trademark Office (USPTO) for the differentiation of Natural Killer (NK) cells from induced pluripotent stem cells (iPSCs). The NYSCF Research Institute is a pioneer and acknowledged leader in stem cell technology, having developed the NYSCF Global Stem Cell Array®, the premier automated robotic platform for reprogramming skin or blood into induced pluripotent stem cells (iPSCs) and differentiating them into disease-relevant cell types.

 

13 Life Science Blogs To Follow

   by BiopharmaTrend    9884
13 Life Science Blogs To Follow

We have decided to summarize a list of niche blogs, mostly personal, run by the Life Science professionals - scientists, business leaders. Such blogs often provide personalized insights into certain areas of drug discovery, biotech, and business, which are not properly covered by the mainstream media, or covered in very general strokes. Reading blogs is a great way to explore nuances of the industry -- through the prism of personal opinions and experiences of the authors. 

(Blogs are listed in alphabetical order).

11 Inspiring Women Advancing Artificial Intelligence In Life Sciences

   by BiopharmaTrend    4042
11 Inspiring Women Advancing Artificial Intelligence In Life Sciences

In this post, we decided to highlight eleven entrepreneurial women, leading the way in applying advanced computational technologies, such as machine learning (ML), deep learning (DL), and other artificial intelligence (AI) components, for tackling some of the hardest challenges of science -- in drug discovery and healthcare. This list is composed in alphabetical order.