C
Chin Yu Lin
Researcher at University of Alabama
Publications - 3
Citations - 1234
Chin Yu Lin is an academic researcher from University of Alabama. The author has contributed to research in topics: Internal medicine & Stage (stratigraphy). The author has an hindex of 2, co-authored 2 publications receiving 1140 citations.
Papers
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Journal ArticleDOI
Effect of ganciclovir therapy on hearing in symptomatic congenital cytomegalovirus disease involving the central nervous system: a randomized, controlled trial
David W. Kimberlin,Chin Yu Lin,Pablo J. Sánchez,Gail J. Demmler,Wayne M. Dankner,Mark Shelton,Richard F. Jacobs,Wendy Vaudry,Robert F. Pass,Jan Kiell,Seng-Jaw Soong,Richard J. Whitley +11 more
TL;DR: In this paper, the authors evaluated the efficacy and safety of ganciclovir therapy in neonates with congenital cytomegalovirus (CMV) disease and found that 20% of the infants had improved hearing or maintained normal hearing between baseline and 6 months versus 10% of 17 control patients.
Journal ArticleDOI
Safety and efficacy of high-dose intravenous acyclovir in the management of neonatal herpes simplex virus infections.
David W. Kimberlin,Chin Yu Lin,Richard F. Jacobs,Dwight A. Powell,Lawrence Corey,William C. Gruber,Mobeen H. Rathore,John S. Bradley,Pamela S. Diaz,Mary L. Kumar,Ann M. Arvin,Kathleen Gutierrez,Mark Shelton,Leonard B. Weiner,John W. Sleasman,Teresa Murguı́a de Sierra,Stephen Weller,Seng-Jaw Soong,Jan Kiell,Fred D. Lakeman,Richard J. Whitley +20 more
TL;DR: An open-label evaluation of intravenous acyclovir at dosages higher than the 30 mg/kg/d standard dosage approved by the US Food and Drug Administration indicated that the survival rate for patients treated with HD acy Clovir was statistically significantly higher than for patientstreated with SD acyClovir.
Journal ArticleDOI
Artificial Intelligence Assisted Computational Tomographic Detection of Lung Nodules for Prognostic Cancer Examination: A Large-Scale Clinical Trial
Heng-Sheng Chao,Chiao-Yun Tsai,Chung-Wei Chou,Tsu-Hui Shiao,Hsu Chih Huang,Kun-Chieh Chen,Hao-Hung Tsai,Chin Yu Lin,Yuh Min Chen +8 more
TL;DR: In this paper , an Artificial Intelligence (AI)-assisted CT screening algorithm was used to detect different types of nodules in low-dose computed tomography (LDCT) images.