The present invention relates to a system and method for detecting counterfeit, fraudulent and even defectives pharmaceutical and doctor prescription. The system aids the patients to prevent from the potentially deadly Adverse Drug Event (ADE) and Adverse Drug Reaction (ADR) through pill identification, preparation including dose detection and administrative needs by errors due to handwritten prescriptions, instructions, incorrect or fraudulent labeling.

A method and system for employing a technology architecture for solving real world problems.

Embodiments of the invention include systems and methods for protecting study participant data for aggregate analysis. Aspects include sending a broker encryption key to a plurality of subjects. Aspects also include receiving double-encrypted subject data from the plurality of subjects. Aspects also include decrypting the double-encrypted subject data with a broker decryption key to generate single-encrypted subject data for the plurality of subjects. Aspects also include aggregating the single-encrypted subject data for the plurality of subjects to generate an aggregated single-homomorphically encrypted data set. Aspects also include including a plurality of random factors in the aggregated single-encrypted data set. Aspects also include sending the aggregated single-homomorphically encrypted data set to a researcher.

Embodiments provide an improved healthcare system that includes a two-tiered healthcare cryptocurrency used to digitally execute healthcare payment transactions between consumers and healthcare provides. The embodiments are directed to systems and methods for executing the healthcare payment transactions using the two-tiered healthcare cryptocurrency. The systems and methods deposit, by a healthcare service application, a sum of healthcare cryptocurrency to the healthcare service account of the user. The systems and methods receive by the user from a healthcare provider, through a user interface to the healthcare service application, a payment request for a health related service in a specified amount of the healthcare cryptocurrency. The systems and methods transmit by the user to the healthcare provider, through the user interface, a confirmation of the payment request in the specified amount. The systems and methods transfer, by the healthcare service application, the specified amount from the healthcare service account of the user to the healthcare service account of the healthcare provider. The systems and methods record, by the healthcare service application, the given health related service, the healthcare provider, and the specified amount in the blockchain.

An example operation may include one or more of identifying an expiration date associated with an asset, creating a blockchain transaction identifying the asset and the expiration date, storing the blockchain transaction on a blockchain, identifying a requesting entity with a certificate permitting access to the asset, and providing the requesting entity with access to the asset provided the expiration date is still pending.

Methods, systems, storage media and apparatus for training a biomedical image analysis model to increase prediction accuracy of a medical or cosmetic condition are disclosed. Some embodiments may include: providing an initial computer-implemented biomedical image analysis model having an initial model loss, providing one or more nodes configured to retrieve biomedical image data, and configured to execute the computer-implemented biomedical image analysis model, providing a smart contract infrastructure allowing for secured model weights exchange between the nodes, receiving a request by a node or sending a request to a node to train the computer-implemented biomedical image analysis model, training the computer-implemented biomedical image analysis model on the biomedical image data to obtain a modified biomedical image analysis model, calculating the model loss of the modified biomedical image analysis model and assessing the model loss of the modified biomedical image analysis model as compared to the model loss of the initial biomedical image analysis model.

A verified secure biometric collection system and method for collecting and recording data from a user associated with a secure transaction, includes a storage device, user input interface, camera, biometric scanner, camera encoder to combine/hash the user image into combined data sets that are stored in the storage device, a biometric encoder to process the biometric scan into biometric template data sets and store them in the storage device. The system includes at least one of a human witness and non-human digital witness, the non-human digital witness having access to sensor inputs and software, to verify that the user is a person, and a privacy encoder to combine and encrypt the data sets into encrypted data sets memorializing the secure transaction. The system produces a secure transaction copy including encrypted data sets, and purges of all the user data collected once the copy of the secure transaction is produced.

A system for maintaining accurate health data and for providing rewards to data market participants. A marketplace platform based on Blockchain technology leverages smart contracts to provide rewards to sellers of data assets that provide corrections or updates to medical data, such as provider demographics. A URL API is provided to a buyer of the data with an encrypted password that is used to access the data from the URL API.

Methods are provided for minting and distributing quantities of cryptographically generated data based on the quality of received biological datasets. Computer readable media, computing apparatuses, and systems are also provided.

A method for tracking multiple classes of records in a single blockchain is disclosed, the method comprising: by the administrative node computer, receiving, from a first node computer, a request for a class identifier for a certain class, the request including an address identifier associated with the first node computer; generating the class identifier; creating an association between the class identifier and the address identifier; receiving a data element from the first node computer, the data element including the address identifier, the class identifier, and record update information; verifying that the class identifier is associated with the address identifier; verifying that the record update information is permitted according to the class identifier; and creating, a block for a blockchain, the block including the data element. Class identifiers can used for each record entry to distinguish between classes within the blockchain.