Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Study identified numerous influential “hub genes” that offer promising new targets for early detection and therapeutic intervention.

Every crystal's shape is a mirror of the internal arrangement of its molecules, but the molecules in photoswitchable crystals ...

US stocks rose on Friday after the Supreme Court ruled that President Trump's most sweeping "Liberation Day" tariffs are ...

Science, Artificial Intelligence, and Data Transparency Take Center Stage in the Next Phase of Unidentified Anomalous ...

InstantGMP Named #1 for EBR, LIMS & MES Integration Being recognized by Root Analysis as the number one provider of ...

Noninvasive imaging tests may help identify at-risk metabolic dysfunction-associated steatohepatitis, with a FibroScan-based ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...

The Fed paper found that Kalshi's markets provide data that's "valuable to both researchers and policymakers." ...

Elemental analysis techniques are essential in mining, influencing key decisions and ensuring adherence to quality standards throughout the value chain.

Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...