Clara Cavallotto
Biographic Data
| ID | 7685331 |
|---|---|
| NAME | Clara Cavallotto |
| GIVEN NAMES | Clara |
| FAMILY NAME | Cavallotto |
| SIGNATURE | CAVALLOTTO C |
| AFFILIATIONS | University of Chieti-Pescara |
| ORCID | 0009-0009-2484-245X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Factors Influencing the Onset and Severity of Depressive Symptoms
Background: Depression is a leading global health concern and is projected to become one of the major contributors to the global burden of disease in the coming decades. Increasing evidence highlights the role of social determinants—including socioeconomic conditions, social relationships, life stressors, discrimination, and environmental influences—in shaping the risk and clinical expression of depressive disorders. This study aimed to investiga…
Bipolar disorder integrative staging
Bipolar disorder (BD) is a lifelong, recurrent condition with growing evidence supporting a neuroprogressive course, entailing the need to adopt staging models to guide stage-specific interventions. Although different approaches have been proposed, their application remains limited and largely based on clinical features. BOARDING-PASS is an Italian government-funded, multicenter, prospective, and observational study aimed at advancing current kno…
Overcoming treatment-resistant depression with machine-learning based tools
Treatment-Resistant Depression (TRD) poses a substantial health and economic challenge, persisting as a major concern despite decades of extensive research into novel treatment modalities. The considerable heterogeneity in TRD's clinical manifestations and neurobiological bases has complicated efforts toward effective interventions. Recognizing the need for precise biomarkers to guide treatment choices in TRD, herein we introduce the SelecTool Pr…
No prominent works on this page.
Overcoming treatment-resistant depression with machine-learning based tools
Treatment-Resistant Depression (TRD) poses a substantial health and economic challenge, persisting as a major concern despite decades of extensive research into novel treatment modalities. The considerable heterogeneity in TRD's clinical manifestations and neurobiological bases has complicated efforts toward effective interventions. Recognizing the need for precise biomarkers to guide treatment choices in TRD, herein we introduce the SelecTool Pr…
Bipolar disorder integrative staging
Bipolar disorder (BD) is a lifelong, recurrent condition with growing evidence supporting a neuroprogressive course, entailing the need to adopt staging models to guide stage-specific interventions. Although different approaches have been proposed, their application remains limited and largely based on clinical features. BOARDING-PASS is an Italian government-funded, multicenter, prospective, and observational study aimed at advancing current kno…
Factors Influencing the Onset and Severity of Depressive Symptoms
Background: Depression is a leading global health concern and is projected to become one of the major contributors to the global burden of disease in the coming decades. Increasing evidence highlights the role of social determinants—including socioeconomic conditions, social relationships, life stressors, discrimination, and environmental influences—in shaping the risk and clinical expression of depressive disorders. This study aimed to investiga…
Major depressive disorder (3 works) · Alternative medicine (1 works) · Biomarker (1 works) · Bipolar disorder (1 works) · Bipolar Disorder and Treatment (1 works) · Brain stimulation (1 works) · Cognition (1 works) · Connectome (1 works) · Coping (psychology) (1 works) · Depression (economics (1 works)