Healthcare AI Start-up - Prospective Clients Research

Fermé
Glendor, Inc
Draper, Utah, United States
CEO
(4)
3
Projet
Parcours académique
50 heures de travail au total
Apprenant.e
N'importe où
Niveau Avancé

Portée du projet

Catégories
Étude de marché Lancement d'un produit ou d'un service Stratégie de vente
Compétences
protected health information medical research machine learning data lakes scalability selling techniques big data artificial intelligence
Détails

We would like to work with students who have a topical understanding of the medical industry to generate unique and effective strategies for selling our product.

Medical research relies heavily on Big Data - large volume of training and testing data is required to build an automatic medical diagnostic tool using advanced Machine Learning techniques. However, presence of Protected Health Information (PHI) in medical images constitutes a significant hurdle to sharing and aggregating data. Due to sheer volume of the datasets, manual removal of PHI is not scalable and building a tool for automatic PHI detection, deletion and masking is crucial.

The market is seeing a lot of activity with companies that create big medical data lakes that can be shared with a variety of AI in Medicine startups.

Livrables
Aucun élément livrable n'existe pour ce projet.
Mentorat

The students will be working with the CEO of the company.

Weekly meetings with the team

1on1 meetings as needed by students

À propos de l'entreprise

Entreprise
Draper, Utah, United States
2 - 10 employé.es
Technology, Hospital, health, wellness & medical, Science

Our company is developing technology for identification and redaction of sensitive information in different media: texts, images, voice recordings, videos ...