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The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.

Medicine --- Pharmacology --- Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.

Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.

Medicine --- Sestrin2 --- lung cancer --- knockdown --- cancer progression --- bioinformatics --- patient survival --- lung adenocarcinoma --- circulating miR-1246 --- glycosaminoglycan binding --- prognosis --- PI3K-Akt signaling pathways --- TargetScan --- UBE2C --- cancer systems biology --- experimental model systems --- next-generation sequencing --- single-cell sequencing --- patient-derived xenografts --- patient-derived organoids --- triple-negative breast cancer --- personalized medicine --- computational methods --- drug repurposing --- clinical trials --- cancer stem cells --- ETS --- Elk-1 --- stem cell --- microarray --- brain-tumor-initiating cell (BTIC) --- pancreatic cancer --- systems biology --- omics --- biomarker --- genomics --- transcriptomics --- proteomics --- metabolomics --- glycomics --- metagenomics --- Ets --- PEA3 --- Ets-1 --- glioma --- optical genome mapping --- solid tumors --- cancer genomics --- breast --- ovarian --- cancer --- TCGA --- non-small-cell lung cancer --- lung adenocarcinoma (LUAD) --- lung squamous cell carcinoma (LUSC) --- differential expression --- SNV --- CNV --- risk group --- signature --- survival --- renal cancers --- protein interactome --- diagnostic biomarker --- prognostic biomarker --- virtual screening --- docking --- acute myeloid leukemia --- Boolean model --- drug resistance --- network