This paper by Deshpande et al. proposes a novel point-of-care (PoC) biosensing platform for the early diagnosis of Alzheimer’s disease through detection of the common biomarker phosphorylated tau-181 (p-tau-181). This technology consists of two main parts: firstly, a handheld potentiostat that utilizes redox-active polyphenol red molecularly imprinted polymers on porous gold electrodes to measure the presence of p-tau 181 in plasma and serum samples; and secondly, an associated web-App that uses machine learning for immediate data classification and regression. The potentiostat consisted of a microcontroller and electrodes, which were modified to have a hydrophobic, nanostructured highly porous gold (HPG) surface for possible antifouling properties, and additionally treated with a solution containing the phenol red monomer and the p-tau 181 protein template. This solution was used for electrochemical polymerization to make the device specific to p-tau 181 binding. The detection used the intrinsic pPhR redox peak (~0.08 V) by DPV, giving a label-free readout; undiluted serum/plasma were measured. The web-App algorithm is a supervised machine learning application that was trained upon 4500 data points from human plasma, focusing on features including width, peak potential, peak height, signal loss, and concentration. Biofouling is a common limitation to current methods of analyzing serum and plasma, but Deshpande et al. observed negligible signal variation across concentrations, even in the presence of a nonimprinted polymer, suggesting the hydrophobic, nanostructured HPG may have antifouling properties. Dose-response curves showed consistently robust performance in PBS, human serum, plasma, EDTA-treated plasma, and heparin-treated plasma. Moreover, the associated machine learning application showed 100% classification accuracy, without any false positives or negatives, reflecting confidence in the algorithm and the potentiostat’s ability to collect the distinct electrochemical signals of p-tau 181 binding. Overall, Deshpande et al. propose a rapid, specific, and significantly less expensive method to detecting and analyzing p-tau 181, offering a more equitable, decentralized diagnostic opposed to current gold-standard methods.