The multi-biomarker acro-TIME score predicts fg-SRLs response: preliminary results of a retrospective acromegaly cohort.

Sabrina ChiloiroRossana MoroniAntonella GiampietroFlavia AngeliniMarco GessiLiverana LaurettiPier Paolo MattognoRosalinda CalandrelliTommaso TartaglioneAngela CarlinoSimona GaudinoAlessandro OliviGuido RindiLaura De MarinisAlfredo PontecorviFrancesco DogliettoAntonio Bianchi

Published in: The Journal of clinical endocrinology and metabolism (2023)

Although our predictive model should be validated in prospective studies, our data suggest that this nomogram may represent an easy-to-use tool, for early predicting the fg-SRLs outcome.

Keyphrases

electronic health record
lymph node metastasis
case control
big data
squamous cell carcinoma
data analysis
machine learning
deep learning