Amit Yaniv‐Rosenfeld

ORCID: 0009-0003-3085-0225
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About
Contact & Profiles
Research Areas
  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Functional Brain Connectivity Studies
  • Personality Disorders and Psychopathology
  • EEG and Brain-Computer Interfaces
  • Mental Health and Psychiatry
  • Mental Health Treatment and Access
  • Biofield Effects and Biophysics
  • Homelessness and Social Issues
  • Evolutionary Algorithms and Applications
  • Biochemical and Structural Characterization
  • Transactional Analysis in Psychotherapy
  • Pneumocystis jirovecii pneumonia detection and treatment
  • Healthcare cost, quality, practices
  • Machine Learning in Healthcare
  • Migration, Health and Trauma
  • vaccines and immunoinformatics approaches
  • Topological and Geometric Data Analysis
  • Healthcare Policy and Management
  • Metaheuristic Optimization Algorithms Research
  • Stock Market Forecasting Methods
  • Health and Conflict Studies
  • Fungal Infections and Studies
  • Emergency and Acute Care Studies
  • Immune cells in cancer

Tel Aviv University
2021-2024

Shalvata Mental Health Center
2021-2024

Bar-Ilan University
2022-2024

American Academy of Child and Adolescent Psychiatry
2024

Abstract The diagnosis of psychiatric disorders is currently based on a clinical and examination (intake). Ancillary tests are used minimally or only to exclude other disorders. Here, we demonstrate novel mathematical approach the field p-adic numbers using electroencephalograms (EEGs) identify differentiate patients with schizophrenia depression from healthy controls. This examines spatio-temporal relations single EEG electrode signals characterizes topological structure these in individual...

10.1038/s41598-023-28009-0 article EN cc-by Scientific Reports 2023-01-14

Data-driven economic tasks have gained significant attention in economics, allowing researchers and policymakers to make better decisions design efficient policies. Recently, with the advancement of machine learning (ML) other artificial intelligence (AI) methods, can now solve complex previously unseen performance ease. However, use such one is required a non-trivial level expertise ML or AI, which currently not standard knowledge economics. In order bridge this gap, automatic (AutoML)...

10.3390/su151411232 article EN Sustainability 2023-07-19

No diagnostic or predictive instruments to help with early diagnosis and timely therapeutic intervention are available as yet for most neuro-psychiatric disorders. A quantum potential mean variability score (qpmvs), identify neuropsychiatric neurocognitive disorders high accuracy, based on routine EEG recordings, was developed. Information processing in the brain is assumed involve integration of neuronal activity various areas brain. Thus, presumed quantum-like structure allows...

10.1371/journal.pone.0255529 article EN cc-by PLoS ONE 2021-08-05

Abstract Borderline personality disorder (BPD) is a complex psychopathology associated with high service utilization rates. In turn, the hospitalization of BPD patients controversial challenge for mental health professionals. Prior literature has identified certain socio-demographic factors as linked to an increased risk BPD. this study, we examined possible connection between these and duration. We analyzed 1077 records 200 BPD-diagnosed patients. Patients’ gender, age, education level,...

10.1007/s10488-024-01388-w article EN cc-by Administration and Policy in Mental Health and Mental Health Services Research 2024-05-30

Cancer is one of the most common families diseases today with millions new patients every year around world. Bladder cancer (BC) prevalent types affecting both genders, and it not known to be associated a specific group in population. The current treatment standard for BC follows weekly Bacillus Calmette–Guérin (BCG) immunotherapy-based therapy protocol which includes BCG IL-2 injections. Unfortunately, due biological clinical complexity interactions between immune system, treatment, cells,...

10.3390/math11051192 article EN cc-by Mathematics 2023-02-28

Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized paradigm which ignores any possible clustering patients; or sub-grouping personal differences within the identified groups. While both paradigms have shown promising results, each them suffers from important limitations. In this article, we propose novel deep learning-based approach that is to strike balance between using latent-space prototyping. Our specifically tailored for domains in...

10.1371/journal.pone.0258400 article EN cc-by PLoS ONE 2021-11-12

Abstract Objective Management of a patient presenting with first seizure depends on the risk additional seizures. In clinical practice, recurrence is estimated by treating physician using neurological examination, brain imaging, thorough history for factors, and routine scalp electroencephalogram (EEG) to detect abnormal epileptiform activity. The decision use antiseizure medication can be challenging when objective findings are missing. There need new biomarkers better diagnose epilepsy...

10.1111/epi.17110 article EN Epilepsia 2021-11-09

Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% the world's population. The application Artificial Intelligence (AI) and big-data technologies to mental has potential for personalizing treatment selection, prognosticating, monitoring relapse, detecting helping prevent before they reach clinical-level symptomatology, even delivering some treatments. However, unlike similar applications in other fields medicine, there are several unique...

10.48550/arxiv.1903.12071 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Objective Recent literature suggests that female physicians provide higher quality of care compared to their male counterparts across a variety physical medical conditions. We examine whether similar phenomenon is observed for psychiatry residents treating hospitalised psychiatric patients.Methods analysed 300 patient records from Shalvata Mental Healthcare Centre (Hod Hasharon, Israel). Resident-patient sex matchings were compared.Results No significant differences in terms residents' age...

10.1080/13651501.2023.2236162 article EN cc-by-nc-nd International Journal of Psychiatry in Clinical Practice 2023-07-20

AMIT YANIV-ROSENFELD, MD, is a fourth-year Psychiatry Resident at Shalvata Mental Healthcare Center in Hod Hasharon, Israel and Clinical Instructor Tel-Aviv University. She also third-year PhD candidate Bar-Ilan AMIR ELALOUF, PhD, Senior Faculty Member the Head of Technology Management Program Department Management, Bar Ilan University, Ramat Gan, Israel. HAGAI MAOZ, MHA, Specialist General Child Adolescent Psychiatry; Closed Ward Health Center, Lecturer, Doctoral Psychoanalysis Interfaces...

10.1097/ncm.0000000000000741 article EN Professional Case Management 2024-03-30

Borderline personality disorder (BPD) affects 0.7 to 2.7% of the adult population and higher rates are reported in inpatient care. Hospitalizations BPD patients a complex controversial challenge for mental health professionals. Recurrent hospitalizations common it is essential identify risk factors that characterize who benefit from their hospitalization those return ward shortly after discharge.

10.1080/09638237.2024.2408236 article EN Journal of Mental Health 2024-09-30

Cryptococcus neoformans is a fungal pathogen that can cause serious meningoencephalitis in individuals with compromised immune systems due to HIV/AIDS (human immunodeficiency virus/acquired syndrome), liver cirrhosis, and transplantation. Mannoproteins (MPs), glycoproteins the C. capsule, crucially impact virulence by mediating adhesion lung cells modulating response via cytokine induction phagocytosis influence. Therefore, creating vaccine generate targeted antibodies fight infection...

10.1186/s43141-023-00560-3 article EN cc-by Journal of Genetic Engineering and Biotechnology 2023-10-26
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