Sentence examples for Conventional discovery from inspiring English sources

The promise of artificial intelligence and other branches of computer science is to radically transform conventional discovery environments by equipping scientists with a range of powerful computer tools including large-scale, shared knowledge bases and discovery programs.

This facilitates the discovery of antibodies against therapeutically interesting targets (GPCRs, ion channels, and other multispanning membrane proteins) and epitopes that have been considered poorly accessible to conventional discovery methods.

Conventional discoveries and unconventional extractions (like shale oil) would improve our standing somewhat, but OPEC's easily extracted oil makes its members the undisputed kings of crude.

Cost improvements are being sustained and there is building momentum around exploration, with more new opportunities being drilled and the largest two conventional discoveries for a decade made in the second half of 2018.

Moreover, his findings are a welcome alternative to the now-conventional discovery that writers such as Rudyard Kipling and Joseph Conrad were casualties of ambivalence, authors whose approbation of imperial tactics is at least as demonstrable as their frustration with it.

Aiming at the deficiency of conventional peer discovery methods, this paper proposes a novel peer discovery scheme with assist of social network, which introduces a two-dimensional abstract model by analyzing the social attribute and service attribute.

Conventional drug discovery is typically clothed in secrecy, as scientists compete to find the next billion-dollar blockbuster.

Lilly is one of the few large pharma companies with an in-house expertise in protein-based pharmaceuticals that matches its strengths in more conventional drug discovery.

Although efforts to modulate these interactions are more challenging and much less mature than work on conventional drug discovery pathways, significant progress has been made on several fronts.

Conventional knowledge discovery techniques available do not address the need for analyzing such complex datasets and hence data analysis has become increasingly complex and challenging.

In such cases, network pharmacology approaches are highly useful, because they differ from conventional drug discovery by addressing the ability of drugs to target numerous proteins or networks involved in a disease.