Company: APM
Filing Date: 2025-11-17
Form Type: F-1
Source: 0001213900-25-111548
Chunk: 266

Company: Aptorum Group Ltd
Filing Date: 2025-11-17
Form: F-1
Chunk 266
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 to extract miRNA from subjects and for clinical testing. While suitable for clinical trial support and biopharma services, this methodology can be further improved for physician offices setting to improve customer adoption and DiamiR is currently exploring options that would allow shipment of whole blood from collection sites to its lab, where DiamiR laboratory staff would spin down the plasma for use in CogniMIR ®panel. DiamiR is testing a number of collection tubes, preservatives and extraction methods to identify the optimal collection and shipping conditions for the clinical commercial version of its test. Classifier and algorithm development.DiamiR is in the process of developing a second generation software to support its LDTs in development. DiamiR is expanding the capabilities of its current proprietary analytical software by adding Machine Learning and AI capabilities to it and training its classifier to optimize its performance. DiamiR began this initiative in July 2023 through a service agreement with JADBio (jadbio.com), pursuant to which DiamiR purchased a nonexclusive, non-assignable, non-sublicensable, license to use its Automated Machine Learning (AutoML) Platform and Services (the “JB License”) for development of predictive models based on DiamiR microRNA panels and other factors for risk assessment in Alzheimer’s disease and Rett syndrome. Their AutoML tools allows for supervised learning, developing methods falling in the class of feature selection (a.k.a., variable selection or attribute selection), which in turn can be coupled with predictive modeling algorithms to identify (bio) signatures, defined as minimal-size subsets of molecular and other biological measurements that collectively lead to optimal predictions. Initially DiamiR’s focus will be on training and optimizing a miRNA panel and demographic risk factors, such as sex and age. Next, DiamiR will introduce protein biomarkers to the classifier, re-training it to identify additional risk of progression information. There are no guarantees that DiamiR’s AI/ML work will result in a working algorithm(s) or that the algorithms DiamiR develops will prove to be accurate. DiamiR relies on available statistical approaches and their derivatives for our data analysis needs. The tools currently available to DiamiR do not guarantee a positive outcome. JADBio is a vendor, similar to other vendors with which DiamiR can work; any data DiamiR generate belongs to DiamiR. DiamiR’s contract with JADBio expired in 2024 and DiamiR chose not to renew it at this time. Develop proprietary LDTsin D