Draft:Softmining
Italian company active in AI-assisted drug discovery
From Wikipedia, the free encyclopedia
SoftMining S.r.l. (also stylized as SoftMining) is an Italian company described by the University of Salerno as an AI-powered drug discovery spin-off focused on computational design of small molecules and biomedical materials.[1][2]
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| Company type | Private |
|---|---|
| Industry | Drug discovery, computational chemistry, biomaterials, artificial intelligence |
| Headquarters | Fisciano , Italy |
Key people | Stefano Piotto (CEO)[1] |
| Website | softmining |
History
SoftMining is listed among the University of Salerno spin-offs, which describe it as developing methods and algorithms for computational drug design and biomaterials.[1] An early profile in local business press described the initiative as applying computational methods to pharmaceutical research and materials design.[3]
Activities
According to public partner profiles, SoftMining develops computational tools and AI-based methods to support research pipelines for small molecules and biomaterials, with additional applications in digital health and semantic analysis.[2]
Research projects
NEWROAD (EU4Health)
SoftMining is involved in NEWROAD (Open Platform for European Networking and Repurposing of Oncological Assets and Drugs), an EU4Health-funded project aimed at developing an EU-wide capability and open collaborative platform for systematic drug repurposing in oncology.[4][5]
REPO4EU
SoftMining is listed as a community member of REPO4EU, an EU-funded initiative focused on drug repurposing.[6]
Recognition
ECHealth (IRCAI Global Top 100, 2021)
SoftMining’s ECHealth project appears in IRCAI’s Global Top 100 list (2021).[7]
SM-COVID-19
During the COVID-19 pandemic, Wired Italia reported on Sm_Covid19, describing it as a contact-tracing proposal developed by SoftMining, a University of Salerno spin-off, and discussing its design and privacy implications.[8]
The Corriere della Sera Dataroom column also mentioned an app named SM_Covid19 developed by SoftMining in the context of technological tools for managing COVID-19.[9]
Publications
In 2021, the Journal of Medical Internet Research published a correlational study by authors affiliated with the University of Salerno on evaluating epidemiological risk using open contact-tracing data (e28947).[10]
