Medical research is expensive and risky. Drug manufacturers need to prioritize their early investments with very little experimental data in order to most efficiently discover new treatments. Moliere is a hypothesis generation system that identifies implicit yet-unknown connections already present within the body of medical literature. Using our discovery and ranking system, medical researchers can identify fruitful research directions earlier in the discovery process, before time consuming and expensive experiments. For example, we used Moliere to identify a new gene-treatment target for HIV-associated Neurodegenerative Disease, which we later confirmed in laboratory experiments
The search for effective drugs to treat new and existing diseases is a laborious one requiring a lar...
Research around AI for Science has seen significant success since the rise of deep learning models o...
Drug discovery is said to be a multi-dimensional issue in which different properties of drug candida...
Hypothesis generation is becoming a crucial time-saving technique which allows biomedical researcher...
As the size and scope of online data continues to grow, new machine learning techniques become neces...
Background: In bio-medicine, exploratory studies and hypothesis generation often begin with research...
Advancement in medical therapies requires clinical research to test a therapy's efficacy and safety ...
The increasing availability of large-scale, complex data has made research into how human genomes de...
[EN]Artificial intelligence (AI) has emerged as a transformative tool in the pharmaceutical industry...
Drug discovery and development are long and arduous processes; recent figures point to 10 years and ...
Akin to the exponential growth of genomic sequencing data, high-throughput techniques in proteomics ...
The role of computational tools in the drug discovery and development process is becoming central, t...
Knowledge discovery in pharmaceutical sciences, from metabolomics to molecular modelling BOCCARD, Ju...
PhD Theses Medical.Drug repurposing presents an opportunity to quickly produce new medications in a ...
Lack of efficacy in the intended disease indication is the major cause of clinical phase drug develo...
The search for effective drugs to treat new and existing diseases is a laborious one requiring a lar...
Research around AI for Science has seen significant success since the rise of deep learning models o...
Drug discovery is said to be a multi-dimensional issue in which different properties of drug candida...
Hypothesis generation is becoming a crucial time-saving technique which allows biomedical researcher...
As the size and scope of online data continues to grow, new machine learning techniques become neces...
Background: In bio-medicine, exploratory studies and hypothesis generation often begin with research...
Advancement in medical therapies requires clinical research to test a therapy's efficacy and safety ...
The increasing availability of large-scale, complex data has made research into how human genomes de...
[EN]Artificial intelligence (AI) has emerged as a transformative tool in the pharmaceutical industry...
Drug discovery and development are long and arduous processes; recent figures point to 10 years and ...
Akin to the exponential growth of genomic sequencing data, high-throughput techniques in proteomics ...
The role of computational tools in the drug discovery and development process is becoming central, t...
Knowledge discovery in pharmaceutical sciences, from metabolomics to molecular modelling BOCCARD, Ju...
PhD Theses Medical.Drug repurposing presents an opportunity to quickly produce new medications in a ...
Lack of efficacy in the intended disease indication is the major cause of clinical phase drug develo...
The search for effective drugs to treat new and existing diseases is a laborious one requiring a lar...
Research around AI for Science has seen significant success since the rise of deep learning models o...
Drug discovery is said to be a multi-dimensional issue in which different properties of drug candida...