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Rensselaer Polytechnic Institute


Brain-NET, a deep learning methodology, accurately predicts surgeon certification scores based on neuroimaging data

A new deep learning methodology called Brain-NET has been developed to accurately predict a person's level of expertise in surgical motor skills based solely on neuroimaging data. This technology has the potential to streamline the surgeon certification process, enabling real-time score feedback and remediation or training.

SourceRensselaer Polytechnic Institute·JournalIEEE Transactions on Biomedical Engineering·DateAug 11, 2020

Supply chain expert reveals methodology behind Bordeaux pricing model

A study published in Production and Operations Management reveals a new methodology behind the Bordeaux pricing model, which uses four factors to estimate prices for fine wines. The model provides a transparent approach to setting realistic prices, reducing opportunistic behavior and adding systemic structure to decision-making.

SourceRensselaer Polytechnic Institute·JournalProduction and Operations Management·DateJun 23, 2020

Measuring a tiny quasiparticle is a major step forward for semiconductor technology

Researchers from Rensselaer Polytechnic Institute have developed a new method to measure the mass of individual components in quasiparticles, which could play a crucial role in future applications of quantum computing and more efficient energy conversion. The study reveals significant differences in mass between electrons and holes in ...

SourceRensselaer Polytechnic Institute·JournalNature Communications·DateJun 19, 2020

Older entrepreneurs as successful as their younger counterparts, study reveals

A new study published in the Journal of Business Venturing found that older business entrepreneurs can be just as successful as their younger counterparts. The study also showed that women's chances of success increase with age. Meanwhile, midlife is considered a challenging time to start a business due to child care and elder care obl...

SourceRensselaer Polytechnic Institute·JournalJournal of Business Venturing·DateApr 6, 2020

New technique aims to improve imaging of cells

Researchers at Rensselaer Polytechnic Institute developed a new deep neural network to improve fluorescence lifetime imaging, enabling rapid and detailed analysis of cellular interactions in cancer cells. This technique requires less light while producing detailed images, bringing the field closer to clinical use for precision medicine.

SourceRensselaer Polytechnic Institute·JournalProceedings of the National Academy of Sciences·DateNov 13, 2019