According to some embodiments of the present disclosure, a device is disclosed. In embodiments, the device stores a computer program comprised of a set of encoded executable instructions; a genomic differentiation object and genomic regulation instructions (GRI) that were used to encode the set of encoded executable instructions. The device further includes a processing system comprising a VDAX and a set of processing cores. The VDAX is configured to: receive encoded instructions to be executed from the set of encoded executable instructions and decode the encoded instructions into decoded executable instruction based on a modified genomic differentiation object and sequences extracted from metadata associated with the encoded instructions. In these embodiments, the modified genomic differentiation object is modified from the genomic differentiation object using the GRI. The set of processing cores are configured to receive the decoded executable instructions from the VDAX and to execute the decoded executable instructions.

A method for executing computer programs in a trusted execution environment of a device is disclosed. The method includes retrieving a genomic differentiation object corresponding to a computer program that comprises a set of encoded executable instructions. The method further includes modifying the genomic differentiation object based on genomic regulation instructions (GRI) to obtain a modified genomic differentiation object, wherein the GRI were used to encode the set of encoded executable instructions of the computer program. The method includes obtaining a first instruction that is to be executed from the first set of encoded executable instructions of the computer program; obtaining a first sequence from first metadata associated with the first encoded instruction; generating a genomic engagement factor (GEF) based on the first sequence and the modified genomic differentiation object; decoding the first encoded instruction using the GEF to obtain a first decoded instruction; and executing the first decoded instruction.

A method for maintaining a material data blockchain (MDC) is disclosed. The method includes receiving a material data block (MDB), wherein the MDB includes a metadata portion and a payload portion. The method further includes extracting a first sequence from the metadata portion and generating a genomic engagement factor (GEF) based on the sequence, a genomic differentiation object assigned to the creator VDAX, and genomic regulation instructions (GRI) that are maintained by the creator VDAX. The method further includes generating a creator value corresponding to the MDB based on the first GEF and the MDB and digitally signing the MDB with the creator value. The method includes providing the unnotarized MDB to one or more notary cohorts; and receiving a respective notary value from each of the notary cohorts, wherein each notary value is generated using respective GRI and genomic differentiation object maintained by a respective notary.

A method for verifying a material data chain (MDC) that is maintained by a creator is disclosed. The method includes receiving an unverified portion of the MDC from the creator including a set of consecutive material data blocks (MDBs). Each respective MDB includes respective material data, respective metadata, and a creator verification value. The method includes modifying a genomic differentiation object assigned to the verification cohort based on first genomic regulation instructions (GRI) that were used by the creator to generate the creator verification value. For each MDB in the unverified portion, the method includes determining a verifier verification value based on the MDB, a preceding MDB in the MDC, and a genomic engagement factor (GEF) determined with respect to the MDB. The GEF corresponding to an MDB is determined by extracting a sequence from the metadata of a MDB and mapping the sequence into the modified genomic differentiation object.

A method for setting up a video call between a healthcare provider and a patient include receiving a request to initiate a video call between a healthcare provider device and a patient device, generating an online video call based on the request, generating a message comprising a link to the online video call, wherein the link allows the patient device to join the video call without using video call details, and providing the message comprising the link to the patient device.

Disclosed is a secure biometric collection (SBC) system for collecting and recording data from a user associated with a secure transaction. The SBC system comprises a storage device, input device, camera, fingerprint scanner, camera encoder, fingerprint encoder, and privacy encoder. The input device is configured to receive information from the user related to the secure transaction, the camera is configured to capture an image of the user and store it in the storage device, and the fingerprint scanner is configured to scan a fingerprint of the user and store it in the storage device. The camera encoder is configured to combine and hash the image of the user into combined data sets that are stored in the storage device and the fingerprint encoder is configured to process the fingerprint scan of the user into fingerprint template data sets and store the fingerprint template data sets in the storage device. The privacy encoder is configured to combine and encrypt the combined data sets and fingerprint template data sets from the storage device into encrypted data sets that memorialize the secure transaction. The SBC system is configured to produce a copy of the secure transaction that includes the encrypted data sets for the user and transmit the secure transaction including the encrypted data sets to an immutable distributed ledger and the storage device is configured to be purged of all the data collected from the user including the information from the user and all biometric data that includes the image of the user, fingerprint of the user, combined data sets, fingerprint template data sets, and encrypted data sets once the copy of the secure transaction is produced.

One example method includes accessing stored data, associating a unique identifier with the data, creating a hash by hashing a combination that comprises the unique identifier and the data, transmitting the hash to a notary service, receiving, from the notary service, a digital signature that corresponds to the hash, appending the digital signature to the data, and storing, as an object, a combination that comprises the digital signature, the data, and the unique identifier.

Some embodiments are directed to a device (101) for determining a summary of a genomic data entry describing one or more genomic sequences. The summary is for offering the genomic data entry to one or more other parties. The device obtains the genomic data entry and analyse the genomic data entry to verify whether it satisfies one or more predefined properties. The device computes a cryptographic commitment to the genomic data entry. For each satisfied property of the one or more predefined properties, the device constructs a non-interactive zero-knowledge proof (NIZK) proving that the cryptographic commitment commits to a genomic data entry satisfying the satisfied property. The device associates the NIZKs with the cryptographic commitment to obtain a summary of the genomic data entry.

A method for executing computer programs in a trusted execution environment of a device is disclosed. The method includes retrieving a genomic differentiation object corresponding a computer program; modifying the genomic differentiation object based on genomic regulation instructions (GRI) to obtain a modified genomic differentiation object; and executing a first executable instruction of the computer program. Executing the first executable instruction includes: retrieving first encoded data that is input to the first executable instruction; extracting a sequence from metadata associated with the encoded data; generating a first genomic engagement factor (GEF) based on the first sequence, the GRI and, and the modified genomic differentiation object; decoding the first encoded data based on the first GEF to obtain first decoded data; and executing the first executable instruction using the first decoded data.

Disclosed is a system for authentication and examination of test samples (200) including a kit authentication module (220), a testing kit (210), an identity authentication module (230), an examination module (240), and a medical certificate module (250). Further is disclosed a method for authentication and examination of test samples (100) utilising the above mentioned components of the system for authentication and examination of test samples (200) along with a user module (260).