neuro psycad

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Supporting early and accurate diagnosis in neuropsychiatry www.neuropsycad.com | [email protected]

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Page 1: Neuro Psycad

Supporting early and accurate diagnosis in neuropsychiatry

www.neuropsycad.com | [email protected]

Page 2: Neuro Psycad

Clinical history and observation is subjective.

Neuropsychiatric illnesses are the most frequent and debilitating.

Delayed DiagnosisDelayed TreatmentUnnecessary costs

Subtle brain changes are missed.

Brain scan examination depends on eye-inspection and memory.

?

Page 3: Neuro Psycad

With NeuroPsyCAD, clinicians send us the brain scan...

…we use artificial intelligence to compare it to a patients’ database…

... and provide a report (in hours) for early and accurate diagnosis.

Early disease management

Slowed disease progression

?Lower healthcare costs

REPORT on Patient X:

Alzheimer’s disease: 93%Mild cognitive impairment: 7%

Model: 94% accuracy (94% sensitivity; 95% specificity)

Page 4: Neuro Psycad

AI platform for Image Recognition of Neuropsychiatric Disorders

Capitalization on scan’sinformation

No other exams

Software for analysis of volume of single areas to aid diagnosis

‘Big Data’

61% 94%54% more accurate

Alzheimer’s

Parkinson’s

5x cheaper

€1500 €300

Served market ~1.62 M new patients/year (EU/USA); B2B to hospitals, clinics, insurance

Page 5: Neuro Psycad

Hugo FerreiraMSc Physics, MSc Medicine, PhD

Assistant Professor @FCUL

Lead and manages neuroimaging research group.

Over €500k raised.

Diana PrataMSc Biology, PhD

Group Leader @iMM, KCL

Leads and manages neuroscience research group.

Over €1.2M raised.

Ricardo MaximianoMSc Biomedical Eng

PhD Student @FCUL

Developed NeuroPsyCAD alpha-prototypes using

machine learning.

2017: 100K Investment, Caixa Capital

2016: ‘InovPortugal New Ideas B2B’ Award, Acredita Portugal

2016: Idea Prize to 10 best startup ideas, Born From Knowledge

Page 6: Neuro Psycad

Clinical Partners Advisory Board Database increase for model validationUser-experienceClinical trial for certification FDA/CE Prof Ray Chaudhuri (UK) - Parkinson’s

Prof Joaquim Ferreira (Portugal) - Parkinson’s

Prof Hilkka Soininen (Finland) - Alzheimer’s

Prof Sir Robin Murray (UK) - Schizophrenia

Key opinion leaders

Page 7: Neuro Psycad

Milestones – 1st year (Parkinson’s & Alzheimer’s)

1. Algorithm validation With larger online databases With new hospital databases

2. Clinical field trial Set up clinical partnerships Diagnostic models User portal and user experience

3. IP & Regulation IP strategy Certification (device class 2)

Feedback from users

Certification submission

MONTH 1 MONTH 4 MONTH 8 MONTH 12

Diagnostic models

User Portal IP strategy defined

Gap analysis

Page 8: Neuro Psycad

Shareholders and pre-seed investors

Page 9: Neuro Psycad

Use of 100k euros Caixa Capital Investment

Caixa Empreender Award

Faster algorithm validation

Faster database increase

Expansion to psychiatry

FDA / CE certification

+

Page 10: Neuro Psycad

Merger & Acquisition• Large healthcare IT companies (e.g. Cerner, Glintt, IBM, Google)• Scanner vendors (e.g. Siemens, General Electrics, Philips)• Data storage and Teleradiology companies (e.g. Sectra, Fujifilm, Ramsoft)• Similar companies (e.g. Cortechs Labs, Ixico)

Initial Public Offering (IPO)

Change of Market• Pharma (for clinical trials)• Academic Research (for neuroimaging analysis)• Database curation (for researchers, pharma or similar companies)

Closure

Exit

Page 11: Neuro Psycad

Supporting early and accurate diagnosis in neuropsychiatry

www.neuropsycad.com | [email protected]