Jordana Borges Camargo Diniz

Driven neuroimaging expert with a proven track record at the Neurological Institute of Goiania, excelling in clinical protocol development and data analysis. Demonstrated success in enhancing epilepsy diagnosis through machine learning, achieving 89.1% sensitivity. Adept at coordinating complex research projects, showcasing strong leadership and analytical skills. Passionate about advancing neurological care.

• Advancing epilepsy diagnosis: A meta-analysis of artificial intelligence approaches for interictal epileptiform discharge detection., Borges C Diniz J, et al., Seizure, 2024
• Replacement of traditional vagus nerve stimulation with cardiac-based device and seizure reduction: A systematic review and meta-analysis., Borges C Diniz J, et al., Seizure, 2024
• Application of Machine Learning for Classification of Brain Tumors: A Systematic Review and Meta-Analysis., Santana LS, Borges C Diniz J, et al., World Neurosurgery, 2024
• Asleep versus awake GPi DBS surgery for Parkinson's disease: A systematic review and meta-analysis., Borges C Diniz J, et al., Journal of Clinical Neuroscience, 2024
• Transradial versus transfemoral access in carotid artery stenting: A meta-analysis., Batista S, Oliveira LB, Borges C Diniz J, et al., Interventional Neuroradiology, 2023
• Machine Learning Algorithms to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage: A Systematic Review and Meta-analysis., Santana LS, Borges C Diniz J, et al., Neurocritical Care, 2023
• Efficacy of Deep Brain Stimulation for Psychiatric Disorders: A Systematic Review and Meta-Analysis., Vilela-Filho O, Borges C Diniz J., Manuscript in preparation

• Thesis Supervisor of the Team, Silver Medal Awardee - 2nd Rank, XLII Congress of the Medical University Awards, University of São Paulo, 2023
• Research Intern scholarship, Bahia State Research Support Foundation, Effect of biological compounds isolated from Mimosa tenuiflora in controlling cell proliferation and inducing apoptosis in cultured murine melanoma cells.
• Ranked 1st/37, Pharmacy Entrance Examination, Federal University of Goiás, 2012
• Academic Excellence Scholarship, Augustinian College, Received a 90% tuition fee waiver for all three years of high school (2011-2013).

• Research Associate, University of São Paulo, 11/2022, Present, Brazil, Led a meta-analysis assessing AI in epilepsy diagnosis, showing that machine learning achieved 75.3% sensitivity and 81.3% specificity, while deep learning reached superior performance with 89.1% sensitivity and 84.9% specificity., Demonstrated that machine learning models can distinguish MRI of mesial temporal lobe epilepsy with hippocampal sclerosis from healthy controls with a sensitivity of 84.2% and a specificity of 82.3%. This work was accepted for presentation at the 2024 Congress of Neurological Surgeons (Houston, Texas)., Conducted a meta-analysis on drug-resistant epilepsy, demonstrating that switching from traditional to cardiac-based VNS resulted in ≥50% and ≥80% seizure reduction rates, presented at the 2023 Congress of Neurological Surgeons (Washington, DC).
• Research Associate, Federal University of Goiás, 11/2023, Present, Brazil, Coordinated a meta-analysis on DBS for psychiatric disorders, showing that supero-lateral branch of the medial forebrain bundle stimulation produced significantly greater symptom improvement than anterior capsule or subcallosal cingulate targets for depression patients.
• Research Associate, Hospital de Amor, 11/2022, 11/2024, Brazil, Showed that asleep and awake globus pallidus internus DBS achieve comparable functional outcomes and targeting accuracy in Parkinson's disease.
• Research Intern, Laboratory of Cellular and Molecular Biophysics, 08/2016, 07/2017, Brazil, Performed cell culture and biomolecular assays in a project investigating Mimosa tenuiflora compounds, using chromatographic and spectroscopic techniques to evaluate effects on melanoma cell growth and apoptosis.