Chun Lai Too

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Atopic Dermatitis

Systematic Review

Rheumatoid Arthritis Patients

Top Venues

JMIR research protocols

Lupus science & medicine

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Aisha Fadhilah Abang Abdullah, Nor Asiah Muhamad, Rimah Melati Ab Ghani, Nur Hasnah Maamor, Fatin Norhasny Leman, Chun Lai Too, Intan Hakimah Ismail, Nor Afiah Mohd Zulkefli, Ahmad Iqmer Nashriq Mohd Nazan, Salmiah Md Said
The Effectiveness of Early Food Introduction in Preventing Childhood Allergic Diseases: Protocol for a Systematic Review and Meta-Analysis. JMIR research protocols 12 (2023)
Aisha Fadhilah Abang Abdullah, Nor Asiah Muhamad, Rimah Melati Ab Ghani, Nur Hasnah Maamor, Fatin Norhasny Leman, Chun Lai Too, Intan Hakimah Ismail, Nor Afiah Mohd Zulkefli, Ahmad Iqmer Nashriq Mohd Nazan, Salmiah Md Said
The Effectiveness of Early Food Introduction in Preventing Childhood Allergic Diseases: Protocol for a Systematic Review and Meta-Analysis. JMIR research protocols 12 (2023)
Malarvili Selvaraja, Chun Lai Too, Lay Kim Tan, Bee Tee Koay, Maha Abdullah, Anim Md Shah, Masita Arip, Syafinaz Amin-Nordin
Human leucocyte antigens profiling in Malay female patients with systemic lupus erythematosus: are we the same or different? Lupus science & medicine 9 (1) (2022)
Sivakami Janahiraman, Chun Lai Too, Kai Wei Lee, Nor Shuhaila Shahril, Chee Onn Leong
Genetic Biomarkers as Predictors of Response to Tocilizumab in Rheumatoid Arthritis: A Systematic Review and Meta-Analysis. Genes 13 (7) (2022)
Saori Sakaue, Jun Hirata, Masahiro Kanai, Ken Suzuki, Masato Akiyama, Chun Lai Too, Thurayya Arayssi, Mohammed Hammoudeh, Samar Al Emadi, Basel K Masri, Hussein Halabi, Humeira Badsha, Imad W Uthman, Richa Saxena, Leonid Padyukov, Makoto Hirata, Koichi Matsuda, Yoshinori Murakami, Yoichiro Kamatani, Yukinori Okada
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction. Nature communications 11 (1) (2020)