New AI Model Forecasts Hidden Side Effects of Drug Combinations
A new machine learning method called DCSE predicts side effects of drug combinations and introduces more realistic evaluation standards that ...
A new machine learning method called DCSE predicts side effects of drug combinations and introduces more realistic evaluation standards that ...
A global pharmacovigilance analysis of 354 pregnancies found no unexpected safety signals with the complement inhibitor ravulizumab, with outcomes consistent ...
A nationwide Korean cohort study of over 31,000 tuberculosis patients finds that the risk of optic neuropathy rises nearly sevenfold ...
A new systematic review of fifteen studies finds that only 74.2 percent of drug-resistant tuberculosis patients in Cameroon achieve treatment ...
A two-stage analysis combining FDA adverse event reports with Japanese claims data found aripiprazole associated with a significantly lower risk ...
An analysis of nearly half a million clinical trials and real-world data from over 91,000 patients reveals that immune-related side ...
A 608-patient multicenter study in China found that delamanid-containing regimens for multidrug-resistant tuberculosis showed a safety profile consistent with clinical ...
A large retrospective cohort study of 505 meta-analyses finds that most early evidence on medication harms expires within about three ...
A Danish study of 589 mother–child pairs links azole antifungal use in pregnancy to altered adrenal hormone levels in infants, ...
A George Mason statistician has received FDA funding to develop regulatory-grade frameworks that quantify how record linkage errors affect the ...
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© 2025 Scienmag - Science Magazine