Abbreviations ABC: Aberrant Behavior Checklist ACC: Anterior cingulate cortex AE: Adverse event ASD: Autism spectrum disorder ATEC: The Autism Treatment Evaluation Checklist AUCB: Autologous umbilical cord blood BM: Bone marrow CARS: Childhood Autism Rating Scale CB: Cord blood CD: Cluster of differentiation CDD: Childhood disintegrate disorders CGI-I: The Clinical Global Impression Scales for the Global Improvement CGI-S: The Clinical Global Impression Scales for the Severity of Illness dlPFC: Dorsolateral prefrontal cortex DSM-5: The Diagnostic and Statistical Manual of Mental Disorders (5th Edition) DTI: Diffusion-weighted images EEG: Electroencephalography EOWPVT: Expressive One-Word Picture Vocabulary Tests EPC: Endothelial progenitor cell FIM: Functional Independence Measure Scales FSC: Fetal stem cell GARS: Gilliam Autism Rating Scale GvHD: Graft vs host disease HSC: Hematopoietic stem cell IFG: The inferior frontal gyrus ISAA: Indian Scale for Assessment of Autism IT: Intrathecal IV: Intravenous MNC: Mononuclear cell MSC: Mesenchymal stem/stromal cell NVIQ: Non-verbal IQ ORC: Ollivier-Ricci curvature PDDBI: Pervasive developmental disorder behavior inventory PDD-NOS: Pervasive developmental disorder not otherwise specified PET-CT: Positron emission tomographycomputed tomography ROWPVT: Receptive One-Word Picture Vocabulary Test RTT: Rett syndrome TNC: Total nucleated cells UC: Umbilical cord VABS: The Vineland Adaptive Behavior Scales Wee-FIM: Pediatric Version of Functional Independence Measure Scales References Ahmed LA, Al-Massri KF (2021) Directions for enhancement of the therapeutic efficacy of mesenchymal stem cells in different neurodegenerative and cardiovascular diseases: current status and future perspectives

Although existing studies on the use of TNF inhibitors have only focused on male populations, it is crucial to consider their effectiveness and safety in female patients
Pastore, A., Federici, G., Bertini, E
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Realizing this potential requires a secure, scalable software platform that integrates the LPA model with electronic health records (EHRs) to support data-driven clinical decision-making