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連網型糖尿病照護:創新與成長機會Connected Diabetes Care: Innovations and Growth Opportunities |
連續血糖監測、人工胰臟系統和新型胰島素配方改變了糖尿病管理的未來
人們越來越偏好使用穿戴式 CGM 來進行糖尿病自我評估,以取代指尖血糖值測量,尤其是第 1 型糖尿病 (T1D) 患者。目前,HbA1c 和 TIR 是糖尿病監測應用的首選生物標記。新的飲食/健身追蹤應用程式可以支持您的整體健康,並幫助預防與文明病,例如糖尿病。先進人工智慧 (AI) 的使用透過提供對生理標記的預測見解(包括預測血糖值)來實現這些應用程式的預測能力。 2 型糖尿病 (T2D) 的傳統處方藥包括口服藥物。儘管如此,胰島素用於 T2D 治療的使用仍在增加,特別是對於口服藥物無法控制血糖值的患者。由於胰島素輸送平台的不斷進步,胰島素仍然是 T1D 患者的主要治療方法。
混合封閉回路型系統或人工胰腺正在迅速成為 T1D 最佳管理的首選治療選擇。這些系統通常由複雜的演算法組成,促進 CGM、胰島素幫浦以及監測和輸送平台之間的串擾,以持續管理血糖值。擴大使用連接到智慧型手機應用程式的穿戴式監測設備,可以實現基於應用程式的個人化建議和可操作的預測見解,以改善糖尿病管理,推動數位療法的發展。這項研究提供了連續血糖監測、胰島素輸送技術和人工胰臟進展的見解。我們也分析了將塑造全球糖尿病照護未來的資金籌措、新興數位糖尿病照護技術以及合作關係。
Continuous Glucose Monitoring, Artificial Pancreas Systems, and Novel Insulin Delivery Formulations to Transform the Future of Diabetes Management
The preference for diabetes self-assessment using wearable CGMs instead of finger-stick blood sugar testing is increasing, especially in type 1 diabetics (T1D). HbA1c and time-in-range are currently the preferred biomarkers for diabetes monitoring applications. Emerging diet and fitness tracking apps help support general well-being and prevent the onset of lifestyle diseases such as diabetes. The use of advanced artificial intelligence (AI) has enabled the predictive capabilities of these apps by providing predictive insights on physiological markers, including the prediction of blood glucose levels. Conventional prescription medications for type 2 diabetes (T2D) comprise oral drugs. Still, there is a rising use of insulin for T2D management, especially for patients who are unable to manage blood sugar levels with oral medicines. Insulin continues to be a mainstay for treating T1D patients, with continuous advances in insulin delivery platforms.
Hybrid closed-loop systems or artificial pancreas are fast emerging as a preferred treatment option for optimally managing T1D. These systems typically comprise a CGM, an insulin pump, and an advanced algorithm that facilitates cross talk between the monitoring and delivery platforms for managing blood sugar levels continuously. The rising use of wearable monitoring devices connected through smartphone apps has enabled several app-based personalized recommendations and actionable predictive insights for improved diabetes management, leading to digital therapeutics development. This research provides insights into advancements in CGMs, insulin delivery technologies, and artificial pancreas. The study also analyzes funding, emerging digital diabetes care technologies, and partnerships shaping the future of global diabetes care.
The study answers the following questions: What are the key technological advancements in CGM devices and insulin delivery platforms? Who are the key innovators across device-based diabetes care platforms? How are funding and partnership trends likely to impact the diabetes care device industry? What are the emerging trends for digital diabetes care? What are the growth opportunities for digital diabetes management?