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Berlin, Germany

Poole R.M.,Springer
Drugs | Year: 2014

Belinostat [Beleodaq® (US)], a small-molecule hydroxamate-type inhibitor of class I, II and IV histone deacetylase (HDAC) enzymes, has been developed by TopoTarget and Spectrum Pharmaceuticals for the treatment of relapsed or refractory peripheral T-cell lymphoma (PTCL). Belinostat has received its first global approval as monotherapy for this indication in the US, under the Food and Drug Administration's accelerated approval program. This article summarizes the milestones in the development of belinostat leading to this first approval for the treatment of PTCL. © 2014 Springer International Publishing Switzerland. Source


Deeks E.D.,Springer
Drugs | Year: 2015

Olaparib (Lynparza™) is an oral, small molecule, poly (ADP-ribose) polymerase inhibitor being developed by AstraZeneca for the treatment of solid tumours. The primary indication that olaparib is being developed for is BRCA mutation-positive ovarian cancer. A capsule formulation of the drug has received approval for use in this setting in the EU and USA, and a tablet formulation is in global phase III trials (including in the USA, EU, Australia, Brazil, Canada, China, Israel, Japan, Russia and South Korea). In addition, phase III trials in breast, gastric and pancreatic cancer are underway/planned, and phase I/II investigation is being conducted in other malignancies, including prostate cancer, non-small cell lung cancer, Ewing's sarcoma and advanced cancer. This article summarizes the milestones in the development of olaparib leading to this first approval for ovarian cancer. © 2015 Springer International Publishing Switzerland. Source


Patent
Springer | Date: 2012-06-29

The present invention relates to a method of operating a recommender system arranged for being coupled to a computer implemented social network (


The present invention relates to an apparatus, method, and computer program product for controlling a recommender system, wherein placement of auxiliary media in relation to at least one content item presented to a user is controlled. A first scheduler (


A recommender engine for recommending content items to a user comprises a profile generation unit having a pre-profile input unit, which is configured to receive pre-profile data comprising pre-profile text data suitable for identifying entities of interest to a given user, and having a pre-profile analysis unit, the entities of interest and to generate an initial user profile data set for the given user from the extracted identification data; a query generation unit, to generate at least two queries semantically different from each other to be directed to at least one content repository; a content retrieval unit, to issue the generated queries to the content repository and to receive in response to the queries, content-related response data comprising respective hit lists and an interleaver unit to generate from the different hit lists a single recommendation list.

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