Medical Big Data AI Start-up Data Analytics Project

Positions available: 3 teams of 3-4 students.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. In this project we are looking to determine and build a description of the status quo on the Medical Images datasets that are available worldwide. We are looking to identify, collect and analyze Medial Images datasets that are currently available through government sponsored organization and commercial entities. Students will be responsible for:Identifying Medical Images datasets worldwide.Categorizing the datasets by their coverage, accessibility, eligibility requirements, etc. Collecting and analyzing the datasets. Creating a report on the current availability of Medical Images for research worldwide. More details will be provided during the initial interview.#AI, #Medicine,#InternationalResearch,#PatientsPrivacy, #AIinMedicine

Medical Big Data AI Start-up - Market Research and Analysis Project

Positions available: 5 teams of 3-4 students.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. Our company has developed fully automatic system for PHI Deidentification.#AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

Medical Big Data AI Start-up - Technical Projects

Positions available: 3 teams of 3-4 students.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. Our company has developed fully automatic system for PHI Deidentification in Medical Images. More details will be provided during the initial interview.Examples of projects the students could be responsible for:Evaluation of third party NLP Processing solutionsEvaluation of third party Image Processing solutionsCustom user interfacesOther projects

AI Start-up Customer Segmentation Research for Potential Partnerships

We would like to work with students who are interested in exploring different market segments in medical data markets. 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.There are several segments that we are interested in. The segment will be picked at the beginning of the internship and will depend on students interest and experience.

AI Start-up Prospective Clients Research

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. Students will be responsible for:Developing a list of prospects for our product in pharmaceuticals and contract research organizations (CRO)Reaching out to prospective clients, conducting informational interviews and gauging their interest in becoming beta customerCreating presentation materials and technical speaking points to aid our sales team. This is an unpaid internship. However, there will be a $100 bonus for each signed-up beta customer. Our ultimate goal is to identify students who could become part of the extended team, while they continue their studies and after they graduate.

Healthcare AI Start-up - Prospective Clients Research

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. We would like to research this particular vertical and identify potential customers for our PHI de-identification solutions.Students will be responsible for:Developing a list of prospects for our product among companies that collect medical data to build repositories for AI in Medicine research Reaching out to prospective clients, conducting informational interviews and gauging their interest in becoming beta customerCreating presentation materials and technical speaking points to aid our sales team.

AI Start-up Marketing Planning and Execution

We would like to work with students who have a topical understanding of the medical industry to generate unique and effective strategies to reaching out to our potential customers and selling our product. Students will be responsible for:Creating Marketing Plan to attract Beta CustomersPreparing Marketing Material and MessagingReaching out to prospective clients, conducting informational interviews and gauging their interest in becoming beta customerCreating presentation materials and technical speaking points to aid our sales team.

Healthcare AI Start-up - Strategic Prospecting

Positions Available: 1 team of 5 personsBased on extensive research we have identified a promising customer segment in the Healthcare vertical. We need assistance in an outreach process to secure a number of beta customers. The project may include, but is not limited to:Identifying new potential accounts that align with our target customer segment.Compiling relevant market information.Developing a list of prospects to reach out toBuilding a customizable outreach script.Reaching out to secure beta customers The final project deliverable are secured beta customers.

Medical Big Data AI Start-up - Digital Content Project

Positions available: 5 teams of 3-4 students.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.Our company has developed fully automatic system for PHI Deidentification in Medical Images. More details will be provided during the initial interview.#AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

Medical Big Data AI Start-up - Marketing Project

Positions available: 5 teams of 3-4 students.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.Our company has developed fully automatic system for PHI Deidentification in Medical Images. More details will be provided during the initial interview.Students projects include:Developing Sales PresentationsDeveloping Social Media StrategyWriting blog articles, email newsletters/sequences and other content pieces on assigned topicsDefining and creating videos to promote our organization and demonstrate our capabilitiesEvaluating recent successful campaigns in our sectorIdentifying media outlets that are most beneficial to share our storyCreating one-pagers targeted towards different customer segmentsExpanding/enhancing company website More details will be provided during the initial interview.#AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

AI Start-up Customer Segmentation Research for Potential Partnerships

We would like to work with students who have topical understanding of medical industry to generate unique and effective strategies for selling our product. Students will be responsible for:Developing a list of prospects for our product in one of several segments, e.g. Healthcare Research startups, pharmaceuticals orcontract research organizations (CRO)Reaching out to prospective clients, conducting informational interviews and gauging their interestCreating presentation materials and technical speaking points to aid our sales team. There are several segments that we are interested in. The segment will be picked at the beginning of the internship and will depend on students interest and experience.

AI Start-up Prospective Clients Research

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. Students will be responsible for:Developing a list of prospects for our product in pharmaceuticals and contract research organizations (CRO)Reaching out to prospective clients, conducting informational interviews and gauging their interest in becoming beta customerCreating presentation materials and technical speaking points to aid our sales team.

Medical Big Data AI Start-up - Technical Projects

Positions available: 3 teams of 3-4 students.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. Our company has developed fully automatic system for PHI Deidentification in Medical Images. More details will be provided during the initial interview.Examples of projects the students could be responsible for:Evaluation of third party NLP Processing solutionsEvaluation of third party Image Processing solutionsCustom user interfacesOther projects

Medical Big Data AI Start-up - Digital Marketing Project

Positions available: 5 teams of 3-4 students.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.Our company has developed fully automatic system for PHI Deidentification in Medical Images. More details will be provided during the initial interview.#AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

Medical Big Data AI Start-up - Digital Marketing Project

Positions available: 5 teams of 3-4 students.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.Our company has developed fully automatic system for PHI Deidentification in Medical Images. More details will be provided during the initial interview.#AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

Healthcare AI Start-up - Prospective Clients Research

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.