Results 91 to 100 of about 3,973,551 (188)

Prevalence and incidence of infections among people with type 2 diabetes: a systematic review and meta-analysis. [PDF]

J Glob Health
Fu XL, Chen WJ, Zhao HM, Li MD, Zhuang MY, Xiao Y, Wu B, Guo J.   +7 more
europepmc   +1 more source

A high-quality chromosome-level genome assembly of the low chilling requirement mulberry, Morus macroura. [PDF]

Sci Data
Wu H, Wang J, Geng T, Yao Y, Lin P, Wang S, Xu L.   +6 more
europepmc   +1 more source

Drug-induced Aseptic Meningitis: Pharmacovigilance Analysis of Japanese Adverse Event Reporting Database. [PDF]

In Vivo
Masago S, Kotake K, Yamaoka K, Yorifuji K, Shimizu T.   +4 more
europepmc   +1 more source

Leukotriene receptor antagonists and eosinophilic granulomatosis with polyangiitis: a disproportionality analysis from FAERS, JADER, CVAR databases integrated with network pharmacology. [PDF]

PLoS One
Liang C, Zhuo P, Zhang Y.
europepmc   +1 more source

Integrated Network Solutions in Government Hiring Trends (INSIGHT+). [PDF]

Sci Data
Resh WG, Lee KE, Ming Y, Xia XA, Dias N, Liu KA, Cao D, Huh W.   +7 more
europepmc   +1 more source

Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach. [PDF]

Cancer Diagn Progn
Agrawal VL, Agrawal T, Ghose A, Adeleke S, Boussios S, Arora RS.   +5 more
europepmc   +1 more source

Safety of Vortioxetine in Patients With Depression: A Post-Marketing Surveillance Study of Intracranial Hemorrhage in a Japanese Health Insurance Claims Database. [PDF]

Neuropsychopharmacol Rep
Inoue T, Otake R, Hoshino T.
europepmc   +1 more source

Quarterly financial statements Data for Russian firms. [PDF]

Data Brief
Marakueva M, Popova P.
europepmc   +1 more source

Risk factors for leukemic transformation in myeloproliferative neoplasms and prognostic factors in secondary acute myeloid leukemia: an exploratory analysis of the SEER database. [PDF]

Ann Hematol
Wang S, Zang H, Du W, Guo L, Song J, Qiao T, Gu W.   +6 more
europepmc   +1 more source

Identifying researcher characteristics driving growth in Japanese University-originated deep-tech startups: A machine learning approach. [PDF]

PLoS One
Mizuhara Y, Kurashiki T.
europepmc   +1 more source