BMedSci, FNS, MB ChB
Academic Junior Doctor
- DPhil Student
- Clarendon Scholar
Quantification of Parkinson's Disease
Max is an academic junior doctor interested in neurosurgery, artificial intelligence, space medicine, and rare diseases. He trained in medicine at Bristol (clinical) and Oxford (academic), and is currently working towards DPhil in Clinical Neurosciences. His academic work focuses on objective quantification of neurological disorders, treatment for rare parkinsonian diseases and the use of AI in clinical practice. He’s been recognised for several clinical, academic and teaching achievements, including National Clinical Neurosciences Award, Harvey Cushing Gold Medal, BGS, Arctic Medicine, and Wellcome Trust scholarships.
In 2021, he has been granted a prestigious Clarendon Scholarship (top 2% of all applicants across university) and, as the best doctoral applicant in medicine, received a fully funded University of Oxford's MSD studentship for his degree. He was a University of Oxford Medical School DGH Tutor of the Year in 2020 (Student choice) and a youngest person ever to be elected the President of the Oxford Neurological Society.
His work has been shared through lectures, tutorials, and public presentations in several countries, always gripping his audience attention with dark humour, dynamic expression, and active gesticulation.
Max is a member of Neurometrology lab, which is a multidisciplinary team of academics, engineers, and clinicians, developing novel and more accurate ways of disease and symptom assessment.
Neuroscience is not all about a shaking arm or a spastic muscle. Behind every Parkinson's disease, there is a unique and infinitely interesting person, who experiences a wide range of symptoms in their very own, inimitable way.
Sometimes the intricate function of the brain goes wrong. My research focuses on finding where that fault is and how to fix it. I want to achieve this by blending engineering and medicine to produce technological solutions that can assess Parkinsonian diseases in terms of movement, cognition, memory, and executive function.
Our group achieves that by developing a battery of physical, memory, and eye movement exercises using wearable sensors and body trackers. The data output is then analysed to work out patterns, correlations, and new methods of assessment, which will eventually replace human examination in clinic.
I want to create a world where every patient will get a comprehensive assessment of their disease at home; using our sensors and devices, with clinicians receiving a rigorously researched and objective report of symptoms. The time usually spent on tedious neurological examination in clinic can instead be used to discuss what's important for the individual.
Licence to Practice
UK (GMC 7672217)
Iceland (Læknanúmer 2863 Kt 021193-5859)
OTHER RESEARCH INTERESTS
Strategy Adherence: A Specific and Rapidly Progressive Deficit in Progressive Supranuclear Palsy
MA Brzezicki, M Bogdanovic, T Buchanan, JJ FitzGerald, CA Antoniades
(2021) Movement Disorders (Clinical Practice)
Microbiological Modification Therapy For Acute Medical Presentations Of Generalised Anxiety Disorder
MA Brzezicki, L Celentano, M Ostrowski, A Chakraborty
(2020) Clinical Neuropsychopharmacology and Therapeutics
How to Manage Head Injury With COVID-19 Pneumonitis On Mars? Rare But High Impact Complex Medical Emergencies In Space.
MA Brzezicki, DC Crockett, A Cooney, JM Strachan
(2020) Journal of Surgical Research
Artificial Intelligence Outperforms Human Students In Conducting Neurosurgical Audits
MA Brzezicki, NE Bridger, MD Kobetić, et al., S Neumann
(2020) Clinical Neurology and Neurosurgery
The Influence of Deep Brain Stimulation on Eye Movements
S Patell, MA Brzezicki, JF FitzGerald, CA Antoniades
(2019) Advances in Translational Neuroscience of Eye Movement Disorders
Five Reasons Why Generalised Anxiety Disorder Should Be A Metabolic Disease
MA Brzezicki, M Ostrowski, M Carr, NE Bridger
(2019) Oxford Metabolic Health
Prolonged unconsciousness in perampanel overdose
G Parsons, J Bailey, F Bailey, MA Brzezicki
(2019) BMJ Case Reports
Diagnostic accuracy of frontotemporal dementia. An artificial intelligence- powered study of symptoms, imaging and clinical judgement
MA Brzezicki, MD Kobetić, S Neumann, C Pennington
(2019) International Journal of Surgery 43, 56-57
Rare Presentation of a Relapsing Remitting Central Nervous System Vasculitis: A Case Report
MA Brzezicki, MD Kobetić, S Dillon
(2019)Fortschritte der Neurologie - Psychiatire, 87(02):129-132
Efficient Treatment for Complex Regional Pain Syndrome: A Critical Review.
MA Brzezicki, PT Zakowicz, A Chodorowska
Practical Treatment of Lewy Body Disease in the Clinic: Patient and Physician Perspectives
MA Brzezicki, MD Kobetic
(2018) Neurology and Therapy, 1-3