Fully closed-loop, insulin-only (no meal announcement)
Multiple (Cambridge / academic / industry)
The active research frontier of insulin-only automated insulin delivery that removes carb counting and meal announcement entirely. Cambridge's CamAPS HX and other fully closed-loop systems show real gains over pump-plus-sensor in trials, but the speed of injected insulin still caps how well an unannounced meal can be handled — making faster insulins the key unlock.
The scorecard
Fully closed-loop raised time-in-range ~13 points over pump+CGM in adults (50% vs 36%) and adolescents (45% vs 32%) — a real gain, but absolute TIR stays below the ~70% hybrid loops reach in motivated users.
Across trials time below 3.9 mmol/L stayed low and statistically unchanged versus comparators (~0.4-2.8%), with no severe hypoglycemia or DKA — removing meal boluses did not raise lows.
The defining strength: no carb counting, no meal announcement, no pre-meal bolus — the algorithm detects and corrects for meals on its own, the highest automation level demonstrated in trials.
Mean glucose fell ~1.2-1.6 mmol/L vs pump+CGM in T1D trials; meaningful but capped by postprandial highs that unannounced insulin cannot fully catch.
Overnight control is excellent (overnight TIR up to ~96%), but daytime post-meal excursions drive most of the remaining variability.
Unannounced exercise remains a core open problem: rapid insulin-sensitivity shifts after a meal bolus are hard to predict, and reviews flag this as a leading barrier to true set-and-forget use.
Cambridge's adaptive algorithm self-learns continuously; the trade-off of a hands-off design is fewer manual levers, though glucose targets remain adjustable.
Investigational for fully-closed-loop T1D use: CamAPS HX is studied under research/CE-marked pathways, no FDA clearance for insulin-only fully-closed-loop, and no system is broadly commercially available in this mode.
As a concept it assumes a modern compact or tubeless form; real-world freedom would depend on the hardware it ships on.
Glycemic criteria are scored on the levels actually achieved in large real-world Type 1 diabetes cohorts — not the headline improvement over a trial's baseline (an improvement that looks bigger when the starting population was doing poorly). Type 2 diabetes trial data is never used to score a Type 1 system; where only improvement data exists, it informs the rationale, not the score. Freedom captures form factor and wearability, so a tubeless system is rewarded for the mobility a tubed one can't match.
The full picture
Today's best automated insulin delivery (AID) systems are hybrid closed loops: the algorithm runs basal insulin and corrections, but the person still has to announce every meal — counting carbs and bolusing — because injected insulin is too slow to catch a meal on its own.1 The research frontier described here aims to remove that last manual step entirely: a fully closed-loop, insulin-only system where you eat without telling the device anything, and the algorithm detects the meal and doses for it.1 It is not one product but a path, pursued most prominently by the University of Cambridge group (Hovorka and colleagues) alongside academic and industry teams.1
Components. Like any AID system it is a CGM + insulin pump + control algorithm. What changes is the algorithm: it adds automatic meal detection and prandial dosing so no announcement is needed. Cambridge's version is the phone-based CamAPS HX app, the fully-automated sibling of the hybrid CamAPS FX.2
Trial outcomes. In a single-center crossover trial, 26 adults with type 1 diabetes and above-target control (mean HbA1c 9.2%) used CamAPS HX with ultra-rapid lispro for 8 weeks with no meal announcement. Time in range (3.9-10.0 mmol/L / 70-180 mg/dL) rose to 50.0% versus 36.2% on their own pump plus CGM (+13.2 percentage points), mean glucose fell from 12.0 to 10.7 mmol/L, and time below 3.9 mmol/L stayed low and unchanged (0.88% vs 0.64%) with no severe hypoglycemia or ketoacidosis.2 A two-center adolescent trial (CamAPS HX with Fiasp, 8 weeks, n=24) showed the same pattern: time in range 45.2% vs 32.3% (+12.9 points), lower mean glucose, and no rise in hypoglycemia.3 In adults with type 2 diabetes the effect was even larger — time in range 66.3% vs 32.3% and HbA1c 7.3% vs 8.7% — because the slower meal dynamics of type 2 are more forgiving of insulin's lag.4
Automation level. This is the whole point: no carb counting, no meal announcement, no pre-meal bolus.23 In a supervised crossover study, UVA's fully automated RocketAP algorithm lifted time in range in the 6 hours after an unannounced meal to 83% (vs 53% with a legacy hybrid system), with no increase in hypoglycemia and improved overnight control — confirming that automatic prandial dosing can substantially blunt unannounced-meal excursions.5 Open-source AID communities pursue the same milestone using meal-detection and automatic micro-boluses.1
The speed gap — the central limiter. The honest ceiling is postprandial: because subcutaneous insulin peaks ~1.5-2 hours after dosing, an unannounced meal spikes glucose before any reactive dose can act.6 This is why faster insulin matters more here than anywhere else, and a head-to-head trial directly tested it: faster aspart versus standard aspart in fully closed-loop with unannounced meals and exercise gave similar overall time in range (53% vs 58%, not significant), showing that today's "ultra-rapid" insulins are not yet fast enough to close the gap on their own.7 Reviews point to inhaled or other ultra-fast routes, and adjuncts, as the missing piece.1
Exercise. Unannounced activity remains a leading unsolved problem — post-meal insulin-sensitivity shifts are hard to predict, so exercise is the event most likely to break true "set-and-forget" use.1
Ages, indications, access. Trial evidence spans adolescents (13+) and adults with type 1 (and type 2) diabetes.234 CamAPS HX is CE-marked and used in research; there is no FDA clearance for insulin-only fully-closed-loop and no system is broadly commercially available in this mode — it is investigational today.12
What's coming. Three threads converge: self-learning/adaptive algorithms that need no user tuning (a first-in-human Dexcom-based system lifted type 1 time in range from 38% to 56% with no meal announcement),8 faster insulins to shrink the postprandial gap,67 and adjunctive therapies (amylin, GLP-1, or glucagon) to blunt the spikes insulin alone can't catch.1 Together they define the insulin-only path to a true artificial pancreas.
References
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Heise T, Piras de Oliveira C, Juneja R, et al. What is the value of faster acting prandial insulin? Focus on ultra rapid lispro. Diabetes Obes Metab 2022;24(9):1689-1701. doi:10.1111/dom.14773. https://pubmed.ncbi.nlm.nih.gov/35593434/ ↩ ↩2 ↩3 ↩4 ↩5 ↩6 ↩7 ↩8
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Boughton CK, Hartnell S, Lakshman R, et al. Fully Closed-Loop Glucose Control Compared With Insulin Pump Therapy With Continuous Glucose Monitoring in Adults With Type 1 Diabetes and Suboptimal Glycemic Control: A Single-Center, Randomized, Crossover Study. Diabetes Care 2023;46(11):1916-1922. doi:10.2337/dc23-0728. https://pubmed.ncbi.nlm.nih.gov/37616583/ ↩ ↩2 ↩3 ↩4 ↩5
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Kadiyala N, Lakshman R, Allen J, et al. Fully Closed-Loop Improves Glycemic Control Compared with Pump with CGM in Adolescents with Type 1 Diabetes and HbA1c Above Target: A Two-Center, Randomized Crossover Study. Diabetes Technol Ther 2025;27(9):719-727. doi:10.1089/dia.2025.0062. https://pubmed.ncbi.nlm.nih.gov/40445776/ ↩ ↩2 ↩3
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Daly AB, Boughton CK, Nwokolo M, et al. Fully automated closed-loop insulin delivery in adults with type 2 diabetes: an open-label, single-center, randomized crossover trial. Nat Med 2023;29(1):203-208. doi:10.1038/s41591-022-02144-z. https://pubmed.ncbi.nlm.nih.gov/36631592/ ↩ ↩2
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Garcia-Tirado J, Diaz JL, Esquivel-Zuniga R, et al. Advanced Closed-Loop Control System Improves Postprandial Glycemic Control Compared With a Hybrid Closed-Loop System Following Unannounced Meal. Diabetes Care 2021;44(10):2379-2387. doi:10.2337/dc21-0932. https://pubmed.ncbi.nlm.nih.gov/34400480/ ↩
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Haahr H, Heise T. Fast-Acting Insulin Aspart: A Review of its Pharmacokinetic and Pharmacodynamic Properties and the Clinical Consequences. Clin Pharmacokinet 2020;59(2):155-172. doi:10.1007/s40262-019-00834-5. https://pubmed.ncbi.nlm.nih.gov/31667789/ ↩ ↩2
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Dovc K, Piona C, Yeşiltepe Mutlu G, et al. Faster Compared With Standard Insulin Aspart During Day-and-Night Fully Closed-Loop Insulin Therapy in Type 1 Diabetes: A Double-Blind Randomized Crossover Trial. Diabetes Care 2020;43(1):29-36. doi:10.2337/dc19-0895. https://pubmed.ncbi.nlm.nih.gov/31575640/ ↩ ↩2
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Wilkinson T, Donnelly S, Lever C, et al. First in Human Feasibility Study: Automated Insulin Delivery Utilizing a Self-Adapting Algorithm in Adults With Type 1 and Type 2 Diabetes. J Diabetes Sci Technol 2025;19322968251349528. doi:10.1177/19322968251349528. https://pubmed.ncbi.nlm.nih.gov/40607635/ ↩
Coming soon
ETA · Investigational today (no FDA clearance for insulin-only fully closed-loop; CamAPS HX CE-marked/used in research)
- →Self-learning/adaptive algorithms needing no user tuning (a first-in-human Dexcom-based system lifted type 1 TIR from 38% to 56% with no meal announcement)
- →Faster insulins (inhaled or other ultra-fast routes) to shrink the postprandial gap
- →Adjunctive therapies (amylin, GLP-1, or glucagon) to blunt the spikes insulin alone cannot catch