The integration of digital therapeutics (DTx), wearable electronic devices, and artificial intelligence (AI) represents a significant advancement in personalized healthcare. The primary purpose of this structured narrative review is to evaluate the convergence of these technologies, providing a consolidated framework that bridges the gap between raw biometric data acquisition and actionable, AI-driven clinical insights. This paper synthesizes the latest literature on the intersection of mobile health (mHealth), machine learning (ML), and physiological tracking, with a primary focus on heart rate variability (HRV) and associated biochemical markers, such as cortisol, salivary alpha-amylase, and interleukins. Instead of viewing wearable outputs simply as raw data, we critically evaluate the technical verification and clinical validation required to define them as true “digital biomarkers.” By evaluating multimodal sensor technologies and advanced predictive algorithms, this paper outlines the clinical utility of digital biomarkers in diagnosing and proactively managing cardiovascular, neurological, metabolic, and psychiatric conditions, noting classification accuracies frequently exceeding 85% in controlled settings. However, we strongly caution that internally validated performance in controlled settings does not inherently demonstrate external clinical utility. The clinical relevance of this study lies in its holistic approach to identifying how continuous monitoring can broaden healthcare accessibility while improving precision medicine. Furthermore, it deeply addresses the technical challenges of highly variable ambulatory data quality, the necessity for robust artifact reduction (e.g., via LSTM and GAN architectures), and the limitations of small, homogeneous training datasets. We highlight the essential need for demographic-aware algorithmic models, external validation, and decentralized privacy-preserving models (e.g., federated learning) in diverse populations to ensure the safe, equitable clinical translation of DTx, mHealth, ML, and AI technologies.
Kwanjoon Park, Eunice Kwan Chae Park, W. Park et al.· Bioengineering· 0 citations
Beyond their canonical role in bioenergetics, mitochondria are now recognized as critical signaling platforms that orchestrate innate immune responses. Central to this function is mitochondrial dynamics-the controlled equilibrium between fission and fusion-which serves as a critical structural and thermodynamic checkpoint for cellular fate and immunological status. A substantial body of evidence indicates that pathological mitochondrial fission, frequently driven by Dynamin-related protein 1 (Drp1), is a hallmark of numerous inflammatory conditions. Mechanistically, fragmented mitochondria release damage-associated molecular patterns (DAMPs) and induce acute ATP suppression, metabolically "licensing" NLRP3 activation by collapsing the ATP hydrolysis potential (ΔGATP). Recent breakthroughs have redefined this axis, distinguishing between physical damage and metabolic triggers, such as pyrimidine imbalance via the YME1L-SLC25A33 axis. Furthermore, the immunogenicity of DAMPs is strictly context-dependent; oxidized or "fragile" mtDNA containing ribonucleotides act as hyper-immunogenic ligands for cytosolic sensors like cGAS-STING. Emerging evidence further highlights that endosomal-mitochondrial crosstalk, intercellular mitochondrial transfer, and lipid-driven metabolic rewiring profoundly govern macrophage polarization and tissue homeostasis. Conversely, promoting mitochondrial fusion and robust quality control preserves organellar integrity and attenuates inflammatory cascades. This review critically synthesizes current literature, deconstructing the molecular linkages between organelle structure and metabolic signaling. By exploring the consequences in sepsis, neuroinflammation, osteoarthritis, and cancer, this treatise evaluates the pharmacological potential of modulating mitochondrial dynamics-ranging from direct Drp1 inhibitors and unfractionated heparin to metabolic stabilizers (e.g., GLP-1 receptor agonists), multi-pronged disruptors (e.g., Antimycin A), targeted nanomedicine, and communication-driven mitochondrial transplantation-positioning this axis as a promising frontier for precision pharmacology.
W. Park· Pharmacology and Therapeutic...· 1 citation