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In Drugs - Rhetoric of Fantasy, Addiction to Truth, Schep argues that the majority of writings about drugs fall into two categories: scientific work that establishes objective knowledge but neglects the experiential dimension, and texts that foreground the experiential aspects of drug intoxication at the expense of rigor. In this wide-ranging analysis of drug discourse and its conceptual foundations, the author claims that there are historical and metaphysical reasons for our apparent inability to address drugs directly. Drugs have become the locus of a number of political, juridical and philosophical debates, but most of these debates fail to address the tensions between drugs, language and truth that lie at the root of the cultural history of narcotics. According to the author, if we want to transcend the simple dichotomy between condemnation and propagation that has characterized our attitudes toward drugs in recent decades, we must first come to terms with these tensions. He is currently living in Berlin, where he pursues his PhD research into autobiographical incursions in post-structuralist theory. Report an issue with this product. Previous slide of product details. Print length. Atropos Press. Publication date. See all details. Next slide of product details. Customer reviews. How are ratings calculated? Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyses reviews to verify trustworthiness. Images in this review. No customer reviews. Your recently viewed items and featured recommendations. Back to top. Get to Know Us. Connect with Us. Make Money with Us. Let Us Help You. Audible Download Audio Books. Shopbop Designer Fashion Brands. Amazon Prime Music million songs, ad-free Over 15 million podcast episodes.
Developing active ingredients for new drugs is a fascinating challenge. Essentially, it is a matter of providing a molecule with those.
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As soon as pharmaceutical companies recognized the potential of artificial intelligence tools for drug discovery, they rushed in with big money. After all, traditional drug discovery methods are painstakingly time-consuming, and the promise of AI platforms to trim timelines holds much appeal. Nearly all pharma giants have partnered with start-ups or well-established companies at the forefront of drug discovery AI. The catch is that these platforms are often out of the financial reach of smaller biotech companies and research groups. But this is changing, thanks to software as a service SaaS. SaaS allows users to access cloud-based services over the internet by paying a monthly subscription fee. For a modest sum, drug hunters get access to AI methods of discovering new molecules, though without the personalized service that comes with a full-fledged partnership. Many AI companies in the drug discovery space have begun to market their services through a suite of business models, including SaaS, that complement their more expensive partnership offerings. Nvidia announced on March 18 that Nvidia Inference Microservices NIM , a collection of microservices that include models for generative AI for drug discovery processes, will be available as a part of its AI suite. Some smaller players have also decided to offer services through SaaS. One of them is Boston-based Genetics, which uses its AI platform to develop its own drugs for neurological and autoimmune diseases and cancer. In tandem with the partnership, Genetics has expanded how it offers its drug discovery services. While it will continue collaborating with bigger drug companies to codiscover and engineer drugs, its AI platform will also be available via SaaS. Researchers or small biotech ventures can now try to discover small- and large-molecule medicines directly on the Genetics platform. Read the full feature here. The rise of subscription-based AI platforms for drug discovery. By Aayushi Pratap.
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DRUGS Rhetoric of Fantasy, Addiction to Truth Currently unavailable. We don't know when or if this item will be back in stock.
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