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NeuroSyd's Projects

breast-cancer-sub-types icon breast-cancer-sub-types

A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.

ihp-open-pdk icon ihp-open-pdk

130nm BiCMOS Open Source PDK, dedicated for Analog, Mixed Signal and RF Design

latent-space-discovery icon latent-space-discovery

Noble self-supervised adversarial auto-encoder is proposed to extract biologically relevant genes from cancer transcriptomes.

s4d-ecg icon s4d-ecg

This work consists of three main code files. The ECG.py file includes the model definition and training process. ECG_predict.py evaluates the model's performance on a test set. Finally, ECG_generalization assesses the model's generalization and robustness using different datasets.

signal_copilot icon signal_copilot

BioSignal Copilot: Leveraging the power of LLMs in drafting reports for biomedical signals

skywater-pdk icon skywater-pdk

Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.

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