Abstract: ALCAM/CD166 has recently been discovered as a novel therapeutic target of Alzheimer's Disease and providing a personalized therapy thereof disclosed herein, wherein the personalized therapy in an embodiment of the invention, may include recombinant human fusion protein ILT3Fc or functional fragment thereof when the individual patient does not test positive (i.e., is a non-carrier) for the protective rs2030515 (G) SNP. The present disclosure is further directed to achieving successful ALCAM/CD166 target modulation by administration of a sufficient, and brain-penetrating intravenous dose of ILT3Fc, or alternatively or additionally, by direct CNS administration of a significantly reduced dose that achieves both CNS and peripheral systemic exposure; the disclosure is further directed to in-vivo circulating biomarkers of ALCAM/CD166 for application in neurodegenerative disease and related disorders.

Abstract: Systems and methods for non-invasive and/or non-contact measurement of a subject's tremor in the context of therapeutic intervention is presented. The system includes a memory, a communications interface, a sensor to measure a signal associated with position or motion of an extremity of the subject, and a processor. The processor is configured to receive the signal from the sensor. The processor is further configured to communicate, via the communications interface, the signal, login credentials, and position or motion data to a remote server coupled to a remote electronic health record database. The remote server is configured to receive the signal from the sensor. The processor is configured to receive an analysis that quantified the severity of tremor.

Abstract: According to an aspect of an embodiment, a social network system for electronic delivery of information in personalized health care, may include capturing one or more data streams where each of the data streams relates to health care of a patient. The system may further include integrating the data streams to generate integrated diagnostic data and analyzing the integrated diagnostic data to generate analyzed diagnostic data. The system may further include curating the analyzed diagnostic data and generating an integrated report for presentation to a physician of the patient based on the curated analyzed diagnostic data.

Abstract: A system and computer-implemented method is provided for uncovering genetic drivers of disease in neurodegeneration and other central nervous system (CNS) diseases for novel therapeutic target identification. The process can start with a first integrated, quantitative “deep” imaging phenotype, that accurately reflects disease at a given time-point (cross-sectionally) and returns candidate single nucleotide polymorphisms (SNPs) and/or genes. The candidate SNPs/genes are further validated, by using a second machine learning and/or artificial intelligence (AD-based image analysis operation to assess clinical response, and may include gene expression profiling, and target plausibility analysis including pathway mapping. A set of candidate SNPs/genes may be constructed to accurately predict the first imaging phenotype with a deep learning model from said SNPs/genes to serve as an additional validation step.

Abstract: Systems and methods for non-invasive and/or non-contact measurement of a subject's tremor in the context of therapeutic intervention is presented. The system includes a memory, a communications interface, a sensor to measure a signal associated with position or motion of an extremity of the subject, and a processor. The processor is configured to receive the signal from the sensor. The processor is further configured to communicate, via the communications interface, the signal, login credentials, and position or motion data to a remote server coupled to a remote electronic health record database. The remote server is configured to receive the signal from the sensor. The processor is configured to receive an analysis that quantified the severity of tremor.

Abstract: According to an aspect of an embodiment, a computer-implemented method of delivering information-enabled personalized health care with respect to early Alzheimer's disease in a clinical, non-research setting, comprising a social network, may include capturing one or more data streams where each of the data streams relates to health care of a patient, wherein the one of the data streams is captured from testing for certain genetic variations including single-nucleotide polymorphisms (SNPs). The method may further include integrating the data streams to generate integrated diagnostic data and analyzing the integrated diagnostic data to generate analyzed diagnostic data. The method may further include curating the analyzed diagnostic data and generating an integrated report for presentation to a physician of the patient based on the curated analyzed diagnostic data.

Abstract: A system and method for non-invasive and/or non-contact measurement of a subject's tremor in the context of therapeutic intervention is presented. The system includes a memory, a communications interface, a sensor to measure a signal associated with position or motion of an extremity of the subject, and a processor. The processor is configured to receive the signal from the sensor. The processor is further configured to communicate, via the communications interface, the signal, login credentials, and position or motion data to a remote server coupled to a remote electronic health record database. The remote server is configured to receive the signal and perform an analysis that quantifies a severity of tremor based on the position or motion signals of the subject. The processor is configured to receive the analysis that quantified the severity of tremor and cause the quantified severity of tremor to be displayed via a display device.

Abstract: According to an aspect of an embodiment, a social network system for electronic delivery of information in personalized health care, may include capturing one or more data streams where each of the data streams relates to health care of a patient. The system may further include integrating the data streams to generate integrated diagnostic data and analyzing the integrated diagnostic data to generate analyzed diagnostic data. The system may further include curating the analyzed diagnostic data and generating an integrated report for presentation to a physician of the patient based on the curated analyzed diagnostic data.

Abstract: A system and method for non-invasive and/or non-contact measurement of a subject's tremor in the context of therapeutic intervention is presented. The system includes a memory, a communications interface, a sensor to measure a signal associated with position or motion of an extremity of the subject, and a processor. The processor is configured to receive the signal from the sensor. The processor is further configured to communicate, via the communications interface, the signal, login credentials, and position or motion data to a remote server coupled to a remote electronic health record database. The remote server is configured to receive the signal and perform an analysis that quantifies a severity of tremor based on the position or motion signals of the subject. The processor is configured to receive the analysis that quantified the severity of tremor and cause the quantified severity of tremor to be displayed via a display device.

Abstract: According to an aspect of an embodiment, a method of delivering information-enabled personalized healthcare in a clinical, non-research setting may include capturing one or more data streams where each of the data streams relates to health care of a patient. The method may further include integrating the data streams to generate integrated diagnostic data and analyzing the integrated diagnostic data to generate analyzed diagnostic data. The method may further include curating the analyzed diagnostic data and generating an integrated report for presentation to a physician of the patient based on the curated analyzed diagnostic data.

Abstract: According to an aspect of an embodiment, a method of delivering information-enabled personalized healthcare in a clinical, non-research setting may include capturing one or more data streams where each of the data streams relates to health care of a patient. The method may further include integrating the data streams to generate integrated diagnostic data and analyzing the integrated diagnostic data to generate analyzed diagnostic data. The method may further include curating the analyzed diagnostic data and generating an integrated report for presentation to a physician of the patient based on the curated analyzed diagnostic data.