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Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.
In Scientific reports ; h5-index 158.0
Takahashi Yuta, Yoshizoe Kazuki, Ueki Masao, Tamiya Gen, Zhiqian Yu, Utsumi Yusuke, Sakuma Atsushi, Tsuda Koji, Hozawa Atsushi, Tsuji Ichiro, Tomita Hiroaki
PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence.
In Aging ; h5-index 49.0
Zhavoronkov Alex, Kochetov Kirill, Diamandis Peter, Mitina Maria
aging clock, artificial intelligence, deep learning, psychology of aging, subjective age
In Proceedings of the National Academy of Sciences of the United States of America
Lampinen Andrew K, McClelland James L
artificial intelligence, cognitive science, transfer, zero-shot
Investigating Serum and Tissue Expression Identified a Cytokine/Chemokine Signature as a Highly Effective Melanoma Marker.
Cesati Marco, Scatozza Francesca, D’Arcangelo Daniela, Antonini-Cappellini Gian Carlo, Rossi Stefania, Tabolacci Claudio, Nudo Maurizio, Palese Enzo, Lembo Luigi, Di Lella Giovanni, Facchiano Francesco, Facchiano Antonio
Support Vector Machine, cytokines, machine learning, melanoma markers, principal component analysis
In Disability and rehabilitation ; h5-index 45.0
MATERIALS AND METHODS :
Stratton Catherine, Kadakia Shevali, Balikuddembe Joseph K, Peterson Mark, Hajjioui Abderrazak, Cooper Rory, Hong Bo-Young, Pandiyan Uma, Muñoz-Velasco Laura Paulina, Joseph James, Krassioukov Andrei, Tripathi Deo Rishi, Tuakli-Wosornu Yetsa A
Accessibility, digital resources, home exercise, inclusive, people with disabilities
In The European respiratory journal
PATIENTS AND METHODS :
Chernbumroong Saisakul, Johnson Janice, Gupta Nishant, Miller Suzanne, McCormack Francis X, Garibaldi Jonathan M, Johnson Simon R