{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"invariant_mode_decomposition_design__medicine_healthcare","hypothesis_id":"H2","search_queries":["hemodialysis multivariable model predictive control ultrafiltration intradialytic hypotension patient specific","hemodialysis patient-specific hemodynamic model ultrafiltration control SVD modal","patent dialysis adaptive ultrafiltration control blood volume hypotension","Fresenius Hemocontrol blood volume control ultrafiltration product","dialysis digital twin personalized ultrafiltration hypotension control hemodynamic","intradialytic hypotension machine learning prescribe ultrafiltration rate dialysate settings","hemodialysis biofeedback systems blood volume conductivity ultrafiltration randomized trial review","hemodialysis MIMO control ultrafiltration dialysate conductivity heart rate blood volume"],"sources":[{"source_id":"S1","title":"Automatic control of blood volume trends during hemodialysis","publisher":"ASAIO Journal / PubMed","url":"https://pubmed.ncbi.nlm.nih.gov/8555549/","source_class":"PRIMARY_RESEARCH","claims_supported":["A 1994 automatic system used a time-dependent regulator to adjust both ultrafiltration rate and dialysate conductivity so measured blood-volume changes followed desired trajectories.","In five hypotension-prone patients, the controlled sessions had fewer hypotensive episodes while total ultrafiltration and end-dialysis plasma sodium were preserved."]},{"source_id":"S2","title":"Model predictive control of relative blood volume and heart rate during hemodialysis","publisher":"Medical & Biological Engineering & Computing / PubMed","url":"https://pubmed.ncbi.nlm.nih.gov/20148313/","source_class":"PRIMARY_RESEARCH","claims_supported":["The proposed controller used an online-updated, time-varying linear state-space model of relative blood volume and heart-rate change.","Model predictive control selected constrained ultrafiltration-rate adjustments to track hemodynamic reference trajectories; reported results were simulations rather than a clinical outcome trial."]},{"source_id":"S3","title":"Individualization of Ultrafiltration in Hemodialysis","publisher":"PubMed Central","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC6691497/","source_class":"PRIMARY_RESEARCH","claims_supported":["The work estimated a patient fluid-dynamics model from clinical measurements, including identification from the first 30 minutes of a dialysis session.","It designed individualized ultrafiltration profiles to remove a target fluid volume while constraining hematocrit and remaining robust to parameter-estimation uncertainty."]},{"source_id":"S4","title":"US10881347B2 — Closed loop dialysis treatment using adaptive ultrafiltration rates","publisher":"United States patent record via Google Patents","url":"https://patents.google.com/patent/US10881347B2/en","source_class":"STANDARD","claims_supported":["The patent describes identifying patient-specific fluid dynamics by applying controlled ultrafiltration inputs and measuring blood-volume responses as a black-box transfer function.","It describes real-time adaptation of ultrafiltration profiles using patient history, current treatment conditions, trajectory targets, and repeated within-session excitation-response cycles."]},{"source_id":"S5","title":"Feedback control in hemodialysis","publisher":"Hemodialysis International / PubMed Central","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11867153/","source_class":"AUTHORITATIVE_SECONDARY","claims_supported":["Hemodialysis biofeedback systems already measure relative blood volume and automatically adjust ultrafiltration rate, dialysate conductivity, or both against individually defined trajectories.","Clinical evidence is mixed: some controlled studies reduced intradialytic hypotension, while others found no benefit and one monitoring trial raised safety concerns.","The review reports that blood-volume feedback using both ultrafiltration and dialysate-conductivity control has been studied clinically for decades."]},{"source_id":"S6","title":"Blood pressure and volume management in dialysis: conclusions from a KDIGO Controversies Conference","publisher":"Kidney Disease: Improving Global Outcomes","url":"https://kdigo.org/wp-content/uploads/2017/05/KDIGO-BP-Volume-in-Dialysis-FINAL.pdf","source_class":"OFFICIAL_GUIDANCE","claims_supported":["KDIGO identifies insufficient intravascular volume for the desired ultrafiltration rate and inadequate cardiovascular compensation as major contributors to intradialytic hypotension.","A symptomatic blood-pressure decrease should prompt reassessment of ultrafiltration rate, treatment time, interdialytic weight gain, target weight, and medications.","KDIGO finds conflicting evidence for relative-blood-volume monitoring and warns that dialysate-sodium individualization can be challenging or unsafe."]}],"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"Online-updated model-predictive ultrafiltration control","similarity":"It models coupled relative-blood-volume and heart-rate responses, updates patient/system parameters online, and chooses constrained ultrafiltration changes to stabilize hemodynamics—the central treatment logic of H2 without SVD terminology.","remaining_difference":"It uses state-space MPC with one manipulated setting and reports simulation results, rather than an SVD-derived multi-setting modal sensitivity ranking with out-of-sample abstention.","source_ids":["S2"]},{"name":"BVAC/Hemocontrol-style blood-volume trajectory feedback","similarity":"It automatically changes ultrafiltration and dialysate conductivity together to maintain a desired physiological trajectory and has been clinically tested in hypotension-prone patients.","remaining_difference":"Its controlled variable is an explicitly chosen blood-volume trajectory, not a learned hypotension-sensitive latent mode extracted from a multivariable setting-response matrix.","source_ids":["S1","S5"]},{"name":"Patient-specific robust ultrafiltration-profile design","similarity":"It identifies patient fluid dynamics from clinical data, optimizes ultrafiltration under physiological and fluid-removal constraints, and explicitly accounts for model uncertainty.","remaining_difference":"It uses a compartment model and robust constraint design rather than SVD, modal sensitivity across several feasible settings, and an out-of-sample reconstruction gate.","source_ids":["S3"]},{"name":"Patented black-box adaptive ultrafiltration control","similarity":"It excites the patient-dialysis system, estimates a patient-specific input-output transfer function, and adapts ultrafiltration in real time using measured vascular response.","remaining_difference":"The disclosed examples primarily map ultrafiltration input to blood-volume response and do not expressly disclose SVD-based multivariable mode selection or reconstruction-error abstention.","source_ids":["S4"]}],"overlapping_components":["Patient–dialysis-session unit of analysis","Patient-specific setting-to-physiology response modeling","Coupled volume-refill and cardiovascular response representation","Within-session ultrafiltration adjustment","Joint adjustment of ultrafiltration and dialysate conductivity in prior systems","Online or early-session parameter identification","Constrained optimization over clinically realizable settings","Use of prior treatment history and repeated responses","Preservation of prescribed fluid removal while reducing hypotensive instability","Model-uncertainty and individualized-threshold handling"],"remaining_contrastive_claim":"Within the bounded search, no located dialysis controller explicitly combined a patient-specific multivariable setting-to-physiology matrix, SVD-derived hypotension-sensitive modes, sensitivity ranking across feasible setting changes, and mandatory abstention when out-of-sample reconstruction fails.","claim_falsifier":"A pre-existing paper, product manual, regulatory submission, or patent that expressly implements that four-part sequence for hemodialysis prescription or within-session control—or documentation that a deployed controller performs an equivalent latent-mode decomposition and validation-gated recommendation under another name—would falsify the remaining contrastive claim.","problem_support":"STRONG","recommendation":"REJECT","world_novelty_boundary":"Ordinary web searching found no explicit SVD-plus-reconstruction-abstention implementation, but the therapeutic concept is already substantially occupied by decades of multivariable blood-volume biofeedback, online-updated model-predictive control, individualized robust ultrafiltration design, and patented patient-specific transfer-function control; the surviving distinction is an algorithmic formulation and validation gate, not a new treatment lever. This is a bounded web-search conclusion, not an exhaustive patent, regulatory, or non-English-literature novelty opinion."}