The company, which is called Hiverge, emerged from stealth today with $5 million in seed funding, led by Flying Fish Ventures ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Two-for-one' screening could help detect leading killers of women worldwideA new machine learning model developed by The ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analysing mammograms. The findings were published today in ...

Technology has advanced from being a supportive tool to a dominant force that defines how modern societies operate, ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...