GUILFORD, Conn., Nov. 06, 2019 — InveniAI® Corporation, a global leader pioneering the application of artificial intelligence (AI) and machine learning (ML) to transform innovation across healthcare and other industries, today announced the expansion of its flagship AI- and ML-driven innovation monitoring platform, AlphaMeld™ to include products for pharmaceutical drug discovery and development stakeholders. TargetMeld™ and RxMeld™ will be launched at the upcoming Bio-Europe 2019 Conference.
TargetMeld applies machine learning and pattern recognition that broadens and amplifies the possibilities of early innovation. AI-driven insights provide the real-time evaluation of targets and their associations with therapeutic indications by triangulating signals of early innovation from patents, public/private funding initiatives, expert opinions, conference abstracts, and scientific literature. TargetMeld has identified more than 500 emerging targets showing high translational potential to meet clinical endpoints.
RxMeld applies hundreds of disease-specific algorithms and machine learning to recognize successful patterns of emerging clinical innovation across major therapeutic areas. RxMeld identifies and prioritizes the entire pipeline of clinical assets, from preclinical to late-stage and marketed, based on patterns of successful innovation and probabilities of success. Currently, close to 20% of the spectrum of clinical assets have been identified in RxMeld with 80% or more probability of clinical success.
"The functionality of AlphaMeld and its suite of products continues to advance at a rapid pace, bringing both power and scale to decision-making," said Krishnan Nandabalan, Ph.D., President and CEO, InveniAI Corporation. "With AlphaMeld, we are augmenting human intelligence to help stakeholders tap into the vast knowledge found in public and proprietary data sets."