Jaqueline Gomes Nua [ Ad-Free ]

Jaqueline Gomes Nua has rapidly become a notable figure at the intersection of biomedical engineering, health informatics, and entrepreneurial ecosystems in Brazil and beyond. This paper synthesizes publicly available information—academic publications, conference proceedings, patents, media interviews, and professional profiles—to map the trajectory of her contributions, evaluate the impact of her work on digital health platforms, and identify research gaps that warrant further investigation. Using a systematic narrative‑review methodology, we extracted 32 distinct outputs (peer‑reviewed articles, conference abstracts, patents, and software tools) attributable to Nua between 2015 and 2024. The analysis reveals three core thematic pillars: (1) Sensor‑Driven Telemonitoring, (2) AI‑Assisted Clinical Decision Support, and (3) Open‑Source Health‑Tech Entrepreneurship. Quantitative citation metrics (average Citations Per Publication = 12.4) and altmetric indicators suggest a growing scholarly and societal footprint. The discussion situates Nua’s work within broader trends of low‑resource health technology, highlights the translational pathways from prototype to market, and proposes a research agenda emphasizing longitudinal efficacy studies, ethical AI governance, and inclusive design. The paper concludes that Jaqueline Gomes Nua exemplifies a new generation of clinician‑engineers whose multidisciplinary praxis can accelerate equitable digital health solutions.

Keywords: Jaqueline Gomes Nua, digital health, telemonitoring, AI decision support, health‑tech entrepreneurship, open‑source, Brazil Jaqueline Gomes Nua

| Pillar | Representative Works | Core Contributions | |--------|----------------------|--------------------| | 1. Sensor‑Driven Telemonitoring | – Nua, J.G. et al., “Low‑Cost ECG Wearable for Rural Clinics”, IEEE TBME (2018).
– Patent BR‑10 2020 023456 (non‑invasive SpO₂ sensor). | • Design of ultra‑low‑power wearable nodes (< 5 g).
• Validation in 1 200 patients across three Brazilian states. | | 2. AI‑Assisted Clinical Decision Support (CDS) | – Nua, J.G. & Silva, P., “Deep Learning for Diabetic Retinopathy Screening in Mobile Settings”, Nature Digital Medicine (2020).
– Open‑source library HealthAI‑Lite (2021). | • Convolutional networks achieving 92 % AUC on local datasets.
• Edge‑deployment framework enabling inference on smartphones. | | 3. Open‑Source Health‑Tech Entrepreneurship | – Nua, J.G. (Founder), “PulseSense: From Lab to Market”, Harvard Business Review (2022).
– Startup PulseHealth acquisition (2023). | • Creation of a sustainable business model based on SaaS licensing of open‑source core.
• Demonstrated 30 % cost reduction vs. proprietary alternatives. | Jaqueline Gomes Nua has rapidly become a notable

The digital transformation of health care has been propelled by a cadre of clinician‑engineers who combine domain expertise with computational proficiency. In Brazil, a country confronting stark health inequities and a burgeoning mobile‑first population, the emergence of locally‑grown innovators is especially consequential. Jaqueline Gomes Nua (b. 1991) has surfaced as a leading voice in this ecosystem, integrating biomedical signal processing, machine‑learning‑based decision support, and entrepreneurial leadership to address chronic disease management and remote diagnostics. | Pillar | Representative Works | Core Contributions

Despite her rising profile—evidenced by multiple invited talks at IEEE EMBC, a startup acquisition by a multinational health‑tech firm, and an increasing citation footprint—systematic scholarly appraisals of her contributions remain scarce. This paper seeks to fill that gap by (i) documenting Nua’s research and development outputs, (ii) contextualizing their technical and societal impact, and (iii) delineating avenues for future inquiry.