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CReM: chemically reasonable mutations framework for structure generation.
In Journal of cheminformatics
Polishchuk Pavel
2020-Apr-22
De novo design, De novo structure generation, Matched molecular pairs

Enhancing behavioral sleep care with digital technology: study protocol for a hybrid type 3 implementation-effectiveness randomized trial.
In Trials
BACKGROUND :
METHODS :
DISCUSSION :
TRIAL REGISTRATION :
Germain Anne, Markwald Rachel R, King Erika, Bramoweth Adam D, Wolfson Megan, Seda Gilbert, Han Tony, Miggantz Erin, O’Reilly Brian, Hungerford Lars, Sitzer Traci, Mysliwiec Vincent, Hout Joseph J, Wallace Meredith L
2021-Jan-11
Behavioral sleep medicine, Cognitive-behavioral therapy for insomnia, Digital health technologies, Effectiveness, Implementation facilitation, Insomnia, Military personnel, Veterans

A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning.
In Journal of orthopaedic surgery and research
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Liu Jianyong, Chen Ningjie
2021-Jan-11
Bioinformatics analysis, Diagnostic signature, Differentially expressed genes, Random forest model, Rheumatoid arthritis

PVT1 signals an androgen-dependent transcriptional repression program in prostate cancer cells and a set of the repressed genes predicts high-risk tumors.
In Cell communication and signaling : CCS
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Videira Alexandre, Beckedorff Felipe C, daSilva Lucas F, Verjovski-Almeida Sergio
2021-Jan-11
Genome-wide transcriptional repression, LincRNA PVT1, PVT1 knockdown, Prostate cancer, Tumor suppressor genes

Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD.
In BMC psychiatry
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Chang Jung-Chi, Lin Hsiang-Yuan, Lv Junglei, Tseng Wen-Yih Issac, Gau Susan Shur-Fen
2021-Jan-11
ADHD, Methylphenidate, Striatum, Support vector machine, Treatment response, VBM
A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images.
In BMC neurology
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Yang Mei, Zheng Yiming, Xie Zhiying, Wang Zhaoxia, Xiao Jiangxi, Zhang Jue, Yuan Yun
2021-Jan-11
Computer-Assisted Diagnosis, Deep Learning, Magnetic Resonance Imaging, Muscular Diseases
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