Integrating Modified-Release Systems with Personalized Medicine:
A Salient Framework for Disease Management
Pranab Moudgil1, Sangita Mishra1, Lekha S1, Vinni Kalra2, M P Venkatesh1,3*
1Centre of Excellence in Regulatory Sciences, Dept. of Pharmaceutics, JSS College of Pharmacy, JSSAHER, Mysuru 570015, Karnataka, India.
2Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala 147002, Punjab, India.
3Faculty of Pharmaceutical Sciences, UCSI University, Malaysia.
*Corresponding Author E-mail: venkateshmpv@jssuni.edu.in
ABSTRACT:
Modified-release (MR) drug delivery systems offer precise spatiotemporal control of drug exposure, allowing for alignment with interindividual pharmacokinetic (PK) and pharmacodynamic (PD) variability, and addressing the fundamental shortcomings of conventional fixed-dose therapies in chronic disease management. This narrative review critically examines recent advances in MR platforms, including stimuli-responsive systems and advanced nanocarriers that enable patient-centric customization based on age, physiological status, genetic variability, and comorbidity profiles. The integration of MR formulation design with quantitative clinical pharmacology tools, such as model-informed precision dosing (MIPD), physiologically based pharmacokinetic (PBPK) modeling, and in vitro–in vivo correlation (IVIVC), is highlighted as a key strategy for enhancing translational predictability, optimizing therapeutic performance, and facilitating regulatory acceptance. Emerging manufacturing technologies, particularly three-dimensional (3D) printing, are discussed as disruptive enablers of on-demand, patient-specific MR dosage forms, with growing evidence of clinical and operational feasibility in pediatric populations and complex treatment regimens. Furthermore, the convergence of digital patient twins (DPTs), real-time clinical data streams, and adaptive analytics is positioned as a transformative paradigm for dynamically optimized therapies. Collectively, these developments establish an integrated framework for MR-enabled personalized medicine, supporting the rational design and scalable implementation of individualized therapeutic strategies for chronic diseases requiring long-term pharmacological intervention.
KEYWORDS: Modified-release formulations, Personalized Medicine, 3D printing, Digital Patient Twins, Model-Informed Precision Dosing.
1. INTRODUCTION:
Current clinical therapies face critical challenges in achieving consistent therapeutic outcomes across diverse patient populations with varied therapeutic needs. This variation in drug response among different individuals is caused by various factors such as genetic polymorphisms, physiological differences, environmental factors, and state or manifestation of the underlying diseases. These factors collectively undermine the effectiveness of standardized principles in drug development and clinical administration, which have been the foundation of clinical research. Conventional immediate-release (IR) formulations have been proven to be effective for many patients, but these fail to efficiently account for and address the substantial heterogeneity in absorption, distribution, metabolism, and excretion (ADME) profiles that characterize real-world patient populations1–6. To overcome these limitations, Modified-release (MR) formulations can be considered. Such formulations provides several benefits like controlled/prolonged drug release, site-specific drug delivery, reduce dose dumping, improved patient compliance etc.. These properties help to regulate drug concentrations, reduce dose related side effects and efficiently manage treatment.
Personalized medicine (PM) represents a significant shift in clinical development from standardized therapies to a more real-world data and physiology-driven therapeutic approach7. It integrates genomic, phenotypic, and clinical information to optimize effective treatment, catering to the unique disease and physiological characteristics of patients even within the same disease class. The adoption of MR technology in the development of PM would create novel and effective opportunities to customize drug delivery with patient-specific therapeutic needs, thereby advancing the development of precision therapies8–10. In this study, a framework for the development of MR-based PMs has been proposed that provides visual guidance to drive drug development and innovation in this therapeutic type.
2. METHODS:
A structured study selection and synthesis method was adopted to align with the article’s narrative review with selective quantitative elements.
2.1 Data Sources and Search Strategy:
Primary sources included peer‑reviewed articles, regulatory guidance, and online expert reviews relevant to MR technologies, personalized medicines, digital twins, and advances in therapeutic development retrieved from published articles and available official regulatory sources including FDA, EMA, ICH, etc..
3. DISCUSSION:
3.1 MR Formulations:
MR formulations are engineered drug delivery systems designed to control the rate, timing and location of drug release to achieve specific PK objectives that may be unattainable using conventional IR dosage forms11-13. These systems encompass extended-release (providing sustained drug delivery over prolonged periods), delayed-release (targeting specific gastrointestinal sites), and controlled-release mechanisms (maintaining predetermined plasma concentrations)14-16.
According to a report on the market potential of MR formulations by Future Market Insights, the global MR formulations market is forecasted to grow from USD 282.1 billion in 2025 to USD 524.7 billion by 2035. The insights data are illustrated in Table 1. This is a definite indication that the pharmaceutical industry is acknowledging the revolutionary therapeutic potential of MR formulations.
Table 1: Global modified-release formulations market forecast, 2025–2035
|
Parameter |
Value / Description |
|
Global market size (2025) |
USD 282.1 billion |
|
Projected market size (2035) |
USD 524.7 billion |
|
CAGR (2025–2035) |
6.4% |
|
Dominant release mechanism (2025) |
Extended-release (ER) (41.2% share) |
|
Leading formulation type (2025) |
Matrix tablets (29.0% of MR formulations) |
|
Key drivers |
Chronic disease burden, need for improved adherence, and regulatory support for MR |
3.2 Paradigm of Personalized Medicines:
3.2.1 Genomic, Phenotypic, and Clinical Stratification Approaches: Patient stratification based on molecular, genetic, and clinical characteristics to optimize therapeutic selection and dosing facilitates the development of PMs. These stratification techniques play vital role in identifying appropriate drug targets, treatment regimens, and pharmacogenomic variations. Table 2 summarizes genomic, phenotypic, and clinical stratification approaches.
Table 2: Patient stratification approaches in personalized medicine development
|
Stratification Type |
Methods/Approaches |
Key Findings/Insights |
Examples of Application |
|
Genomic Stratification |
· Next-generation sequencing (NGS) · Whole-genome sequencing (WGS) 1,18,19 |
· Identifies genetic variants affecting drug metabolism · ~99% of genetic variants are rare Single Nucleotide Polymorphisms (SNPs) · SNPs account for 20–40% variation in drug responses2,7,20 |
Pharmacogenomic profiling of ADME genes reveals polymorphisms in drug-metabolizing enzymes and transporters that influence PK parameters9,21,22 |
|
Phenotypic Stratification |
· Biomarker analysis · Disease subtype characterization · Functional assessments1,4,8 |
Identifies patient subgroups likely to respond to specific therapies |
UGT1A1*28 genotyping for irinotecan dose reduction in colorectal cancer to assess tolerance to treatment23 |
|
Clinical Stratification |
· Demographic factors (age, sex, body weight), Comorbidities · Concomitant medications · Renal and hepatic function · Lifestyle factors20,21 |
· Guides treatment development protocols · Ensures dosing adjustments based on patient-specific clinical conditions21,24 |
Metformin dose reduction in elderly Chronic Kidney Disease (CKD) patients with eGFR < 45 mL/min25 |
3.2.2 Variability in ADME Processes:
Inter-patient variability in ADME processes represents a critical determinant of the therapeutic outcomes and safety profiles of drugs. Variability in absorption rates is due to differences in gastrointestinal physiology, drug solubility and permeability characteristics, formulation design, food-drug interactions, and transporter expression6,15. Drug distribution in the patient’s body is influenced by plasma protein binding, tissue perfusion, body composition, and physiological barriers26,27.
Metabolism exhibits the greatest inter-individual variability, with genetic polymorphisms in cytochrome P450 enzymes (particularly CYP2D6, CYP2C9, CYP2C19, and CYP3A4) producing phenotypes ranging from poor metabolizers to ultra-rapid metabolizers2–5. With aging, the renal functions such as glomerular filtration rate and tubular secretion capacity suffer a decline which effects the rate of drug clearance significantly. Hence, in such cases use of patient specific dosage form/regimen becomes essential28-31.
3.2.3 Therapeutic Window and Individual PK/PD Differences:
The therapeutic window varies substantially among patients due to PK/PD heterogeneity across populations. Drugs that have narrow therapeutic window often require precise dosing to avoid toxicity effects32,33. Advances in Model-informed precision dosing (MIPD) provide quantitative frameworks for developing individualized dosing using PK modeling. This can account for inter-individual variability, address patient-specific clinical needs, and reduce the potential toxic effects of drugs34,35.
3.3 Scope of MRDFs for PM development:
3.3.1 Drug Release Rate aligned with Patient-Specific Therapeutic Requirements:
The fusion of MR technology and PM has the ability to align drug release profiles with the PK-PD characteristics of individual patients36,37. Nowadays, 3D printing technologies have emerged as transformative tools for the design and development of patient-specific MR formulations. These are characterized by drug release profiles, physiology-specific dosage strengths, and multi-therapeutic combinations38,39. Furthermore, state-of-the art techniques such as semi-solid extrusion, fused deposition modeling, and binder jetting have facilitated on-demand manufacturing of personalized dosage therapeutic forms in both hospital and community pharmacy settings40-43. Table 3 outlines the advances in MR technology that are enabling the development of patient-specific drug release profiles along with current limitations in clinical adoption.
Table 3: Scope of MR technology for development of PM
|
Aspect |
Description |
Examples /Key Aspects |
|
MR–PM synergy |
MR technology can align drug release profiles with patient specific PK–PD profile, to enable tailored exposure and improved safety/efficacy. |
Enables dose and release kinetics to be matched to age, organ function, genotype, and comorbidity. |
|
3D printing for personalized MR |
Facilitates on-demand manufacturing of patient-specific MR formulations with: · Customized release profiles · Physiology‑specific dose strengths · Multi‑therapeutic combinations (polypills) |
· Techniques: semi‑solid extrusion, fused deposition modeling (FDM), binder jetting · Settings: hospital and community pharmacy |
|
Advanced biodegradable polymer systems |
Physiology‑specific polymers engineering to attain stimuli‑responsive release. |
Stimuli: pH, temperature, enzymatic activity, disease‑specific
biomarkers44.45 |
|
Current limitations in clinical adoption |
· Sequential use of MR formulations and separate pharmacogenomic testing · Post‑approval dose adjustment studies to refine regimens |
Example: HLA‑B*1502 screening for carbamazepine to mitigate the risk of
Stevens‑Johnson syndrome is required, but no MR product yet integrates
this marker to adjust release kinetics48,49 |
3.4 Role of MRDFs in Individualized Therapy:
3.4.1 Tailored Drug Exposure Profiles as per Patient Physiology and Disease Characteristics:
MR formulations have the ability to tailor drug exposure profiles as per patient-specific ADME characteristics51,52. Population-specific PK approaches identify covariates explaining variability among patients and enable the development of covariate-adjusted dosing algorithms incorporated into MR products53,54.
3.4.2 Influence of Age, Metabolic Capacity, Comorbidities, and Drug Tolerance: A patient’s age profoundly influences the performance of MR formulations through multiple mechanisms. It is found that pediatric populations exhibit immature drug-metabolizing enzyme systems, altered gastrointestinal physiology, and body composition differences. These obstacles necessitates the use of flexible dosage forms that include mini-tablets, pellets, and microparticles, and reduced dosing intervals, which will improve compliance, convenience and adherence to treatment regimens to allow pharmacometrics studies dosing capabilities55. Technological advances like hospital-based 3D printing have enabled production of personalized pediatric MR formulations addressing PK challenges and narrow therapeutic windows40,56.
A patient’s physiological tolerance to the drug and treatment history also influences optimal MRDFs characteristics. Moreover, any prior exposure to drugs and responses can alter receptor sensitivity, metabolic enzyme expression, and physiological responses to a new treatment. Currently, Precision Cohort Treatment Option (PCTO) leverages Electronic Health Record (EHR) data to design and execute personalized treatment regimens based on clinical outcomes in similar patient cohorts. This enables data-driven development of personalized regimens without the need for prospective trials31,57,58.
3.4.3 Reduced Dosing Frequency and Stabilized Plasma Levels to improve treatment adherence: Patients on therapies based on ER formulations have been found to demonstrate superior adherence compared to those on treatments with IR products across multiple chronic disease medications. A comprehensive study of 15 chronic medications demonstrated that ER therapy users achieved adjusted medication possession ratios of 80.2% versus 74.8% for IR users (difference 5.4%, p<0.01). The benefits acquired through improved adherence were found to have sustained for over two years. This magnitude of improvement in treatment adherence significantly translates to clinically meaningful outcomes. It is found that medicines like metoprolol succinate extended-release (Toprol XL®) and isosorbide mononitrate extended-release (Imdur®) have resulted in a reduction of major cardiovascular events following myocardial infarction13-15,56,59.
3.5 Technological approaches to enable personalization in MR formulations:
MR technologies utilize both conventional and innovative platforms to deliver controlled drug release and profiles as per unique patient and disease characteristics. For instance, hydrophilic matrix systems, utilize polymers such as hydroxypropyl methylcellulose (HPMC) to produce matrices that swell after getting in contact with gastrointestinal fluids, thus drug release is controlled through erosion and diffusion. The matrices allow the drug delivery to be sustained and thus the delivery is adaptable to individual gastrointestinal transit times60.
3.6 PK/PD Considerations in Personalized MR Therapy:
Model-informed precision dosing (MIPD), physiologically based pharmacokinetic (PBPK) models, and in vitro–in vivo correlation (IVIVC) models leverage clinical covariates of every patient, take into consideration an individual’s physiological parameters, and simulate patient-specific release profiles and dissolution–absorption linkages. All of these help in developing individually optimized MR therapies61-64. An example of a Model-informed drug development (MIDD) approach to optimize clinical trial design in new drug development is “Exposure-matching with popPK or PBPK modeling” in pediatric patients to identify appropriate dosing strengths for assessing clinical safety and efficacy in clinical trials65. In terms of regulatory decision-making, there are a few MIDD approaches one of which is the “PBPK modeling in combination with pharmacodynamics evaluation” that is being used to assess a compound’s effectiveness and is being used to assess the optimized dosing regimens of hydroxychloroquine (HCQ) for the treatment of SARS-CoV-255.
3.7 Regulatory and developmental perspectives for personalized MR:
Regulatory standards are required to confirm consistent product performance for therapies that are produced outside the traditional manufacturing methods and settings. Regulatory oversight is evolving to promote the adoption and usage of novel manufacturing techniques. There are targeted guidance documents, such as the FDA’s framework on additive manufacturing and the EMA’s Quality-by-Design principles for advanced therapies. Such guidelines lay down detailed steps and set guidance on the implementation of risk-based inspection programs for decentralized production along with greater harmonization in terms of adopting standardized GMP control and validation across these manufacturing modalities67,67. All of these can ensure the safety and efficacy of innovative techniques and advance the development of personalized MR formulations68,69.
4 FUTURE DIRECTIONS:
4.1 Digital twins and real-time pharmacotherapy feedback loops:
Digital patient twins (DPTs) represent a revolutionary shift in the development of personalized MR formulations. They enable drug PK/PD simulations in a digital environment, allowing for iterative adjustments and optimization before clinical administration. The obtained clinical data can be used to estimate clinical efficacy and side effects more accurately70. The Swedish Digital Twin Consortium is looking at the ways of building patient-specific digital twins to produce the virtual copies based on the anatomical and physiological characteristics of patients. The customized drug regimens are then administered multiple times to identify the most effective therapies and doses prior to their actual use and administration in clinical trials28,71,72.
Therapeutic feedback loops continuously incorporate real-time health monitoring data from different sources like wearable devices, implantable sensors, and point-of-care diagnostics. This can facilitate dynamic adjustment of formulations as per incoming clinical data7,10. Presently, two-way data exchange between patients and their digital twins has been implemented in only 11% of “claimed digital twin” systems73. Ongoing refinement and continuous improvement of data management and analytics-driven drug development can revolutionize the treatment of chronic diseases, resulting in long-term therapeutic benefits46,74.
4.2 Dynamic and Biodegradable Polymer Systems Tuned to Patient Physiology:
Advanced biodegradable polymer systems enable the creation of critical innovation pathways for patient-centric MR formulations. Natural polymers (chitosan) and synthetic polymers (polylactic acid) offer customizable dissolution kinetics that can match with individual patients’ metabolic profiles21. “Smart polymers" that are stimulus-responsive cater to patient-specific physiological parameters such as pH gradients, temperature variations, enzymatic activity, inflammation biomarkers, etc.. These enable adaptive drug release aligned with specific states of disease. Crosslinking techniques, nanotechnology integration, and microencapsulation platforms provide additional tools to optimize drug release profiles. The integration of biodegradable polymer systems with MR formulations offers benefits including enhanced drug stability, extended presence in target tissues, improved bioavailability (BA), reduced dosing frequency, and site-specific delivery to targeted anatomical sites44,75.
4.3 Personalized pharmacist-led compounding and decentralized manufacturing:
Hospital-based and community pharmacy platforms are allowing on-demand production of patient-specific MR formulations with precise dosing, customized release profiles, and multi-drug combination therapies26,76.
Automated compounding systems integrating robotics, smart manufacturing systems, digital batch records, and inline quality control enable standardized production of personalized dosage forms meeting regulatory requirements.
The CurifyLabs compounding system solution demonstrated feasibility of personalized pediatric MR formulation production in hospital pharmacy settings has shown higher acceptability and efficiency, with significant reductions in pharmacist time requirements (55% decrease) and improved mass uniformity compared to manual compounding. Semi-automated platforms produced 200 multi-drug capsules in 45 minutes, with further efficiency gains anticipated through pre-manufactured pharmaceutical inks and integrated quality systems40-42.
A few of the approved formulations include personalized isoleucine tablets for maple syrup urine disease (MSUD), subdivided spironolactone tablets for pediatric dosing, and warfarin formulations with dose titration capabilities that have been produced as per guidelines laid down in various pharmacopeias9,26,43,74.
4.4 MR formulations in precision pharmacotherapy for chronic disease management:
The amalgamation of novel MR formulations, digital health platforms, pharmacogenomic studies, and advanced manufacturing capabilities has projected MR formulations as critical elements of precision pharmacotherapy for chronic diseases7,11. Critical chronic conditions require lifelong medication regimens, optimized dosing, strict adherence protocols, and personalization that directly impacts morbidity and mortality by improving the precision of therapeutic effectiveness33.
PM development approaches integrate genetic testing, therapeutic drug monitoring, digital health monitoring, and precision cohort analyses. All of these are transforming chronic disease pharmacotherapy from empirical to evidence-based science supported by data-driven insights to continuously improve the quality and effectiveness of these therapies.
5. CONCLUSION:
MR formulations are advancing the development of PMs to directly address physiological and disease variability among diverse patient populations. These are achieved by matching controlled-release profiles to individual PK/PD characteristics of patients. Clinical development of PMs is supported by PBPK, MIPD, IVIVC, and advanced technologies like 3D printing, decentralized compounding etc. The emerging technologies such as DPTs, real-time monitoring, stimulus‑responsive polymers, and AI‑guided drug design have set the stage for the development of state-of-the-art precision therapies. Considerable effectiveness has been observed through early feasibility studies, particularly in pediatric patients where managing drugs with narrow therapeutic indices has shown promising clinical outcomes. However, fully realizing the therapeutic potential of MRs requires a coordinated approach across multiple domains. These include improved regulatory pathways for bioequivalence and quality assessment, novel reimbursement strategies for payers aligned with technological innovation, comprehensive pharmacogenomic testing and therapeutic drug monitoring infrastructure in healthcare systems, and effective public health systems to ensure equitable access and clinical data protection. The integration of pharmacogenomics, therapeutic drug monitoring, and real-time digital health data, potentially enabled by digital patient twins, will be essential for optimizing adaptive therapy. Coordinated regulatory innovation and cross-sector collaboration are critical to establish MR platforms as a foundation for precision therapeutics in chronic and lifelong disease management.
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Received on 14.04.2026 Revised on 16.05.2026 Accepted on 13.06.2026 Published on 07.07.2026 Available online from July 10, 2026 Res. J. Pharma. Dosage Forms and Tech.2026; 18(3):209-216. DOI: 10.52711/0975-4377.2026.00031 ©AandV Publications All Right Reserved
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