Novel biopolymer spray formulation for drug delivery in precision dentistry.

Addressing the growing challenges of periodontal and peri-implant diseases, this study first reports a promising advancement in precision dentistry: an intricately formulated biopolymer spray designed for precise, localized drug delivery during tailored dental procedures. Poly (lactic-co-glycolic acid) (PLGA), recognized for its controlled release, biodegradability, and FDA-approved biocompatibility, forms the core of this formulation. Utilizing the double emulsion method, PLGA microparticles (PLGA-MPs) were loaded with dental antibiotics: sodium amoxicillin (AMX-Na), trihydrate amoxicillin (AMX-Tri), and metronidazole (Met). This antibiotic combination was thoughtfully selected to meet the distinctive requirements of the most impacting dental treatments. The newly developed biopolymer spray underwent thorough in-vitro analysis, revealing an optimized release curve for antibiotics over time, guaranteeing sustained therapeutic efficacy, and dose-dependent efficacy, accommodating personalized treatment approaches. The positive outcomes position the novel biopolymer spray formulation the leaders in advancing localized drug delivery during dental procedures. Moreover, the precise application and the tunable formulation meets the concept of precision medicine: in detail, this formulation represents a significant stride in dental therapeutics, significantly contributing to the predictability of dental implantology.

A comprehensive survey of the clinical trial Landscape on digital therapeutics.

Background: Digital therapeutics (DTx) is an emerging and groundbreaking medical intervention that utilizes health software to treat or alleviate various diseases, disorders, conditions, or injuries. Although the potential of digital therapy is enormous, it is still in its nascent stage and faces multiple challenges and obstacles. The purpose of this study is to provide an overview of all DTx-related clinical trials in ClinicalTrials.gov and to promote the advancement of DTx. Methods: Two reviewers and one expert evaluated data from all DTx clinical trials on ClinicalTrials.gov as of August 8, 2023. Trials utilizing digital therapeutics independently or in combination with traditional approaches were included. Incomplete trials and those lacking an evidence-based foundation were excluded. Basic information about product launches and primary outcome measures was extracted and analyzed. Results: A total of 280 eligible trials were categorized into treating a disease (141, 50.4 %), managing a disease (120, 42.9 %), and improving a health function (19, 6.8 %). The focus was primarily on mental and behavioral disorders, neurological disorders, and endocrine, nutritional, and metabolic disorders. The number of trials has been increasing annually, yet trial design and conduct remain inconsistent. Randomized controlled trials (RCTs) accounted for 67.5 % of completed trials, and 36 trials (12.9 %) involved products already approved for marketing. Conclusions: The growth in clinical studies on DTx underscores their potential in healthcare. However, challenges persist in standardization, regulation, and clinical efficacy. There is a need for a harmonized global classification of digital therapeutics and standardized clinical trial protocols to ensure efficacy and improve healthcare services.

Engineering therapeutical extracellular vesicles for clinical translation.

Cell-based therapies are revolutionizing medicine by replacing or modifying dysfunctional cells with healthy cells or engineered derivatives, offering disease reversal and cure. One promising approach is using cell-derived extracellular vesicles (EVs), which offer therapeutic benefits similar to cell transplants without the biosafety risks. Although EV applications face challenges like limited production, inadequate therapeutic loading, and poor targeting efficiency, recent advances in bioengineering have enhanced their effectiveness. Herein, we summarize technological breakthroughs in EV bioengineering over the past 5 years, highlighting their improved therapeutic functionalities and potential clinical prospects. We also discuss biomanufacturing processes, regulation, and safety considerations for bioengineered EV therapies, emphasizing the significance of establishing robust frameworks to ensure translation capability, safety, and therapeutic effectiveness for successful clinical adoption.

Prescription Digital Therapeutics for Substance Use Disorder in Primary Care: Mixed Methods Evaluation of a Pilot Implementation Study.

BACKGROUND: Delivering prescription digital therapeutics (ie, evidence-based interventions designed to treat, manage, or prevent disorders via websites or smartphone apps) in primary care could increase patient access to substance use disorder (SUD) treatments. However, the optimal approach to implementing prescription digital therapeutics in primary care remains unknown. OBJECTIVE: This pilot study is a precursor to a larger trial designed to test whether implementation strategies (practice facilitation [PF] and health coaching [HC]) improve the delivery of prescription digital therapeutics for SUDs in primary care. This mixed methods study describes outcomes among patients in the 2 pilot clinics and presents qualitative findings on implementation. METHODS: From February 10 to August 6, 2021, a total of 3 mental health specialists embedded in 2 primary care practices of the same integrated health system were tasked with offering app-based prescription digital therapeutics to patients with SUD. In the first half of the pilot, implementation activities included training and supportive tools. PF (at 1 clinic) and HC (at 2 clinics) were added in the second half. All study analyses relied on secondary data, including electronic health records and digital therapeutic vendor data. Primary outcomes were the proportion of patients reached by the prescription digital therapeutics and fidelity related to ideal use. We used qualitative methods to assess the adherence to planned activities and the barriers and facilitators to implementing prescription digital therapeutics. RESULTS: Of all 18 patients prescribed the apps, 10 (56%) downloaded the app and activated their prescription, and 8 (44%) completed at least 1 module of content. Patients who activated the app completed 1 module per week on average. Ideal use (fidelity) was defined as completing 4 modules per week and having a monthly SUD-related visit; 1 (6%) patient met these criteria for 10 weeks (of the 12-week prescription period). A total of 5 (28%) patients had prescriptions while HC was available, 2 (11%) were successfully contacted, and both declined coaching. Clinicians reported competing clinical priorities, technical challenges, and logistically complex workflows in part because the apps required a prescription. Some pilot activities were impacted by staff turnover that coincided with the COVID-19 pandemic. The facilitators to implementation were high engagement and the perception that the apps could meet patient needs. CONCLUSIONS: The pilot study encountered the barriers to implementing prescription digital therapeutics in a real-world primary care setting, especially staffing shortages, turnover, and competing priorities for clinic teams. The larger randomized trial will clarify the extent to which PF and HC improve the implementation of digital therapeutics. TRIAL REGISTRATION: ClinicalTrials.gov NCT04907045; https://clinicaltrials.gov/study/NCT04907045.

Monocytes Reprogrammed by 4-PBA Potently Contribute to the Resolution of Inflammation and Atherosclerosis.

BACKGROUND: Chronic inflammation initiated by inflammatory monocytes underlies the pathogenesis of atherosclerosis. However, approaches that can effectively resolve chronic low-grade inflammation targeting monocytes are not readily available. The small chemical compound 4-phenylbutyric acid (4-PBA) exhibits broad anti-inflammatory effects in reducing atherosclerosis. Selective delivery of 4-PBA reprogrammed monocytes may hold novel potential in providing targeted and precision therapeutics for the treatment of atherosclerosis. METHODS: Systems analyses integrating single-cell RNA sequencing and complementary immunologic approaches characterized key resolving characteristics as well as defining markers of reprogrammed monocytes trained by 4-PBA. Molecular mechanisms responsible for monocyte reprogramming were assessed by integrated biochemical and genetic approaches. The intercellular propagation of homeostasis resolution was evaluated by coculture assays with donor monocytes trained by 4-PBA and recipient naive monocytes. The in vivo effects of monocyte resolution and atherosclerosis prevention by 4-PBA were assessed with the high-fat diet-fed ApoE-/- mouse model with IP 4-PBA administration. Furthermore, the selective efficacy of 4-PBA-trained monocytes was examined by IV transfusion of ex vivo trained monocytes by 4-PBA into recipient high-fat diet-fed ApoE-/- mice. RESULTS: In this study, we found that monocytes can be potently reprogrammed by 4-PBA into an immune-resolving state characterized by reduced adhesion and enhanced expression of anti-inflammatory mediator CD24. Mechanistically, 4-PBA reduced the expression of ICAM-1 (intercellular adhesion molecule 1) via reducing peroxisome stress and attenuating SYK (spleen tyrosine kinase)-mTOR (mammalian target of rapamycin) signaling. Concurrently, 4-PBA enhanced the expression of resolving mediator CD24 through promoting PPARγ (peroxisome proliferator-activated receptor γ) neddylation mediated by TOLLIP (toll-interacting protein). 4-PBA-trained monocytes can effectively propagate anti-inflammation activity to neighboring monocytes through CD24. Our data further demonstrated that 4-PBA-trained monocytes effectively reduce atherosclerosis pathogenesis when administered in vivo. CONCLUSIONS: Our study describes a robust and effective approach to generate resolving monocytes, characterizes novel mechanisms for targeted monocyte reprogramming, and offers a precision therapeutics for atherosclerosis based on delivering reprogrammed resolving monocytes.

Frequency and outcomes of treatment dose escalation with biologics in moderate-to-severe psoriasis: a Swedish register study.

BACKGROUND: The advent of biosimilars may increase the frequency of dose escalation with biologics in psoriasis. OBJECTIVE: To explore the frequency and outcomes of dose escalation with adalimumab etanercept, and ustekinumab. METHODS: Data were extracted from DermaReg-Pso, a psoriasis register in Stockholm, Sweden. The main exposure was treatment, and the main outcome was dose escalation. We describe outcomes with dose escalation by estimating drug survival and changes in the Psoriasis Area and Severity Index (PASI). RESULTS: 554 patients had 946 treatment episodes with adalimumab, etanercept, or ustekinumab. The cumulative incidence of dose escalation was 4.1 per 100 treatment years. The Hazard Ratios (HRs) for dose escalation with ustekinumab vs adalimumab and ustekinumab vs etanercept were 1.93 (95% CI: 1.25-2.98), and 2.20 (95% CI: 1.42-3.41), respectively. After dose escalation, the HRs for treatment discontinuation with adalimumab and etanercept compared with ustekinumab were 3.10 (95% CI: 1.56-6.18) and 7.15 (95% CI: 3.96-12.94), respectively. PASI was higher after compared to before dose escalation for etanercept (p = 0.036), but not for adalimumab (p = 0.832) or ustekinumab (p = 0.300). CONCLUSIONS: Dose escalation was comparatively more frequent with ustekinumab than with adalimumab or etanercept; however, treatment discontinuation after dose escalation was more common with adalimumab and etanercept than ustekinumab.

Competence Regulation in Streptococcus pneumoniae and the Competence-targeted Anti-pneumococcal Strategies.

Natural transformation refers to the process in which bacteria acquire new traits by uptaking naked DNA from the environment and integrating it into their genome through homologous recombination when they are in the specialized physiological state of competence. The natural transformation was first described in Streptococcus pneumoniae. Since Frederick Griffith first described natural transformations in S. pneumoniae in 1928, this phenomenon has been studied extensively. Induction of competence before natural transformation has been reported to involve about 10% of the pneumococcal genome. In addition to natural transformation, multiple physiological processes are involved, including biofilm formation, bacteriocin production, and fratricide. In this review, we summarized current knowledge about natural transformation in S. pneumoniae and described its competence regulation mechanism. This review also introduces the development of novel drugs and vaccines against S. pneumoniae infection by utilizing the existing knowledge of competence and natural transformation.

The Global Evolution and Impact of Systems Biology and Artificial Intelligence in Stem Cell Research and Therapeutics Development: A Scoping Review.

Advanced bioinformatics analysis, such as systems biology (SysBio) and artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL), is increasingly present in stem cell (SC) research. An approximate timeline on these developments and their global impact is still lacking. We conducted a scoping review on the contribution of SysBio and AI analysis to SC research and therapy development based on literature published in PubMed between 2000 and 2024. We identified an 8-10-fold increase in research output related to all three search terms between 2000 and 2021, with a 10-fold increase in AI-related production since 2010. Use of SysBio and AI still predominates in preclinical basic research with increasing use in clinically oriented translational medicine since 2010. SysBio- and AI-related research was found all over the globe, with SysBio output led by the United States (US, n=1487), United Kingdom (UK, n=1094), Germany (n=355), The Netherlands (n=339), Russia (n=215), and France (n=149), while for AI-related research the US (n=853) and UK (n=258) take a strong lead, followed by Switzerland (n=69), The Netherlands (n=37), and Germany (n=19). The US and UK are most active in SCs publications related to AI/ML and AI/DL. The prominent use of SysBio in ESC research was recently overtaken by prominent use of AI in iPSC and MSC research. This study reveals the global evolution and growing intersection between AI, SysBio, and SC research over the past two decades, with substantial growth in all three fields and exponential increases in AI-related research in the past decade.

Novel Endogenous Engineering Platform for Robust Loading and Delivery of Functional mRNA by Extracellular Vesicles.

Messenger RNA (mRNA) has emerged as an attractive therapeutic molecule for a plethora of clinical applications. For in vivo functionality, mRNA therapeutics require encapsulation into effective, stable, and safe delivery systems to protect the cargo from degradation and reduce immunogenicity. Here, a bioengineering platform for efficient mRNA loading and functional delivery using bionormal nanoparticles, extracellular vesicles (EVs), is established by expressing a highly specific RNA-binding domain fused to CD63 in EV producer cells stably expressing the target mRNA. The additional combination with a fusogenic endosomal escape moiety, Vesicular Stomatitis Virus Glycoprotein, enables functional mRNA delivery in vivo at doses substantially lower than currently used clinically with synthetic lipid-based nanoparticles. Importantly, the application of EVs loaded with effective cancer immunotherapy proves highly effective in an aggressive melanoma mouse model. This technology addresses substantial drawbacks currently associated with EV-based nucleic acid delivery systems and is a leap forward to clinical EV applications.

Dr. Manuel Martinez-Maldonado: A Pioneer in Renal Therapeutics and Mentor to a Generation of Minority Physician-Scientists.

Dr. Manuel Martinez-Maldonado is a distinguished Puerto Rican internist, nephrologist, physician-scientist, mentor, and prolific writer whose leadership in academic and clinical settings has significantly advanced the fields of nephrology, renal physiology and pharmacology, fluids and electrolyte metabolism, calcium metabolism, hypertension research, and medical education. His research on electrolyte imbalances has led to innovative hypercalcemia treatments, notably furosemide with IV fluid therapy. This is an approach that, combined with pharmacotherapy using calcitonin and bisphosphonates, became the standard practice for managing hypercalcemia until specific therapies became available. His nephrology research team and laboratory in the San Juan VA (Veterans Affairs) Medical Center and the Medical School of the University of Puerto Rico were internationally renowned. Throughout his career, he fostered a culture of mentorship while spearheading superb clinical teaching and research initiatives. His transformative tenures at several institutions, including Baylor College of Medicine; the University of Puerto Rico-Medical Sciences Campus; the VA medical centers in Atlanta, Houston, and San Juan; Emory University; Oregon Health Sciences University; Ponce School of Medicine; and the University of Louisville School of Medicine demonstrate his lasting contributions to medical science and education. His interdisciplinary approach, advocacy for kidney and clinical research, and contributions to understanding the renin-angiotensin system and the role of sodium-potassium-activated adenosine triphosphatase in renal concentration mechanisms illustrate his enduring impact on renal physiology and human health.

Pathogenesis, diagnostics, and therapeutics for Alzheimer's disease: Breaking the memory barrier.

Alzheimer's disease (AD) is the most common cause of dementia and accounts for 60-70 % of all cases. It affects millions of people worldwide. AD poses a substantial economic burden on societies and healthcare systems. AD is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. As the prevalence of AD continues to increase, understanding its pathogenesis, improving diagnostic methods, and developing effective therapeutics have become paramount. This comprehensive review delves into the intricate mechanisms underlying AD, explores the current state of diagnostic techniques, and examines emerging therapeutic strategies. By revealing the complexities of AD, this review aims to contribute to the growing body of knowledge surrounding this devastating disease.

A novel mertansine conjugate for acid-reversible targeted drug delivery validated through the Avidin-Nucleic-Acid-NanoASsembly platform.

In targeted cancer therapy, antibody-drug-conjugates using mertansine (DM1)-based cytotoxic compounds rely on covalent bonds for drug conjugation. Consequently, the cytotoxic DM1 derivative released upon their proteolytic digestion is up to 1000-fold less potent than DM1 and lacks a bystander effect. To overcome these limitations, we developed a DM1 derivative (keto-DM1) suitable for bioconjugation through an acid-reversible hydrazone bond. Its acid-reversible hydrazone conjugate with biotin (B-Hz-DM1) was generated and tested for efficacy using the cetuximab-targeted Avidin-Nucleic-Acid-NanoASsembly (ANANAS) nanoparticle (NP) platform. NP-tethered B-Hz-DM1 is stable at neutral pH and releases its active moiety only in endosome/lysosome mimicking acidic pH. In vitro, the NP/Cetux/B-Hz-DM1 assembly showed high potency on MDA-MB231 breast cancer cells. In vivo both B-Hz-DM1 and NP/Cetux/B-Hz-DM1 reduced tumor growth. A significantly major effect was exerted by the nanoformulation, associated with an increased in situ tumor cell death. Keto-DM1 is a promising acid-reversible mertansine derivative for targeted delivery in cancer therapy.

The role of respiratory syncytial virus G protein in immune cell infection and pathogenesis.

Severe respiratory syncytial virus (RSV) disease is a significant contributor to the global burden of disease in infants and children. The RSV attachment protein (G) has been shown to be critical in invading airway epithelial cells through its CX3C motif interacting with the host receptor CX3CR1. The ubiquitous expression of this receptor on immune cells may explain their susceptibility to RSV infection. The RSV G protein may enhance disease severity through reprogramming of normal cellular functionality leading to inhibition of antiviral responses. While existing preventives targeting the RSV fusion (F) protein are highly effective, there are no RSV therapeutics based on the G protein to limit RSV pathogenesis. Monoclonal antibodies targeting the RSV G protein administered as post-infection therapeutics in mice have been shown to improve the antiviral response, reduce viral load and limit disease severity. Further research is required to better understand how RSV infection of immune cells contributes to pathogenesis for the development of more targeted and efficacious therapeutics.

Identification and functional validation of miR-190b-5p and miR-296-3p as novel therapeutic attenuators of liver fibrosis.

BACKGROUND & AIMS: Liver fibrosis and its end-stage form known as cirrhosis contributes to millions of deaths annually. The lack of robust anti-fibrotic molecules is in part attributed to absence of any functional screens to identify molecular regulators using patient-derived primary human hepatic myofibroblasts, which are key drivers of fibrosis. METHODS: Here, to identify robust regulators of fibrosis, we performed functional microRNA screenings in primary human hepatic myofibroblasts followed by in vivo validation in three independent mouse models of fibrosis (toxin, cholestasis and MASH). RESULTS: We identified miR-190b-5p and miR-296-3p as robust anti-fibrotic miRNAs that suppress liver fibrosis. Notably, the expression of miR-190b-5p and miR-296-3p was found significantly reduced in human livers with fibrosis. Mechanistically, we discovered hyaluronan synthase 2 (HAS2) and integrin alpha-6 (ITGA6) as novel targets of miR-190b-5p and miR-296-3p, respectively. Furthermore, we demonstrated that the anti-fibrotic properties of miR-190b-5p and miR-296-3p are, at least in part, dependent on HAS2 and ITGA6. Finally, we showed the anti-fibrotic function of both miRNAs in a human liver bud model, which mimics multiple features of human liver. CONCLUSIONS: Collectively, in our study we discovered miR-190b-5p and miR-296-3p as two novel anti-fibrotic miRNAs, and that HAS2 and ITGA6 contribute to miR-190b-5p- and miR-296-3p-mediated inhibition of liver fibrosis. These results provide a foundation for future research to explore the clinical utility of miR-190b-5p and miR-296-3p in liver injuries with fibrosis. IMPACT AND IMPLICATIONS: Liver fibrosis and cirrhosis contribute to millions of deaths world-wide and, till date, remain as unmet medical needs. In this study, we discovered two microRNAs, miR-190b-5p and miR-296-3p, which suppress liver fibrosis in preclinical mouse models and a human liver bud model. Our promising results encourage further studies that aim to develop both miRNAs for the treatment of liver fibrosis in patients.

Suppression of double-stranded RNA sensing in cancer: molecular mechanisms and therapeutic potential.

Immunotherapy has emerged as a therapeutic option for many cancers. For some tumors, immune checkpoint inhibitors show great efficacy in promoting anti-tumor immunity. However, not all tumors respond to immunotherapies. These tumors often exhibit reduced inflammation and are resistant to checkpoint inhibitors. Therapies that turn these 'cold' tumors 'hot' could improve the efficacy and applicability of checkpoint inhibitors, and in some cases may be sufficient on their own to promote anti-tumor immunity. One strategy to accomplish this goal is to activate innate immunity pathways within the tumor. Here we describe how this can be accomplished by activating double-stranded RNA (dsRNA) sensors. These sensors evolved to detect and respond to dsRNAs arising from viral infection but can also be activated by endogenous dsRNAs. A set of proteins, referred to as suppressors of dsRNA sensing, are responsible for preventing sensing 'self' dsRNA and activating innate immunity pathways. The mechanism of action of these suppressors falls into three categories: (1) Suppressors that affect mature RNAs through editing, degradation, restructuring, or binding. (2) Suppressors that affect RNA processing. (3) Suppressors that affect RNA expression. In this review we highlight suppressors that function through each mechanism, provide examples of the effects of disrupting those suppressors in cancer cell lines and tumors, and discuss the therapeutic potential of targeting these proteins and pathways.

Next-Generation Therapeutic Antibodies for Cancer Treatment: Advancements, Applications, and Challenges.

The field of cancer treatment has evolved significantly over the last decade with the emergence of next-generation therapeutic antibodies. Conventional treatments like chemotherapy pose significant challenges, including adverse side effects. Monoclonal antibodies have paved the way for more targeted and effective interventions. The evolution from chimeric to humanized and fully human antibodies has led to a reduction in immunogenicity and enhanced tolerance in vivo. The advent of next-generation antibodies, including bispecific antibodies, nanobodies, antibody-drug conjugates, glyco-engineered antibodies, and antibody fragments, represents a leap forward in cancer therapy. These innovations offer increased potency, adaptability, and reduced drug resistance. Challenges such as target validation, immunogenicity, and high production costs exist. However, technological advancements in antibody engineering techniques provide optimism for addressing these issues. The future promises a paradigm shift, where ongoing research will propel these powerful antibodies to the forefront, revolutionizing the fight against cancer and creating new preventive and curative treatments. This review provides an overview of three next-generation antibody-based molecules, namely bispecific antibodies, antibody-drug conjugates, and nanobodies that have shown promising results in cancer treatment. It discusses the evolution of antibodies from conventional forms to next-generation molecules, along with their applications in cancer treatment, production methods, and associated challenges. The review aims to offer researchers insights into the evolving landscape of next-generation antibody-based cancer therapeutics and their potential to revolutionize treatment strategies.

Digital therapeutics in hypertension: How to make sustainable lifestyle changes.

Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be prevented or controlled with lifestyle changes and medicines. Although a digital therapeutic in hypertension is validated and approved in Japan, whether digital therapeutics (DTx) can significantly improve sustainable lifestyle changes is still a controversial topic. Most studies did not discuss the long-term gain challenges. In this review, the authors discuss the definition of DTx, and analyze the motivation, engagement and adherence challenges of DTx in hypertension. Some ongoing artificial intelligence (AI)-enabled or cognitive behavioral therapy (CBT)-based digital interventions and behavioral strategies for implementing sustainable lifestyle changes are identified and analyzed. With AI-enabled interventions and behavioral strategies, DTx might be one of the effective approaches to make sustainable lifestyle changes.

Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices.

BACKGROUND: Digital health care apps, including digital therapeutics, have the potential to increase accessibility and improve patient engagement by overcoming the limitations of traditional facility-based medical treatments. However, there are no established tools capable of quantitatively measuring long-term engagement at present. OBJECTIVE: This study aimed to evaluate an existing engagement index (EI) in a commercial health management app for long-term use and compare it with a newly developed EI. METHODS: Participants were recruited from cancer survivors enrolled in a randomized controlled trial that evaluated the impact of mobile health apps on recovery. Of these patients, 240 were included in the study and randomly assigned to the Noom app (Noom Inc). The newly developed EI was compared with the existing EI, and a long-term use analysis was conducted. Furthermore, the new EI was evaluated based on adapted measurements from the Web Matrix Visitor Index, focusing on click depth, recency, and loyalty indices. RESULTS: The newly developed EI model outperformed the existing EI model in terms of predicting EI of a 6- to 9-month period based on the EI of a 3- to 6-month period. The existing model had a mean squared error of 0.096, a root mean squared error of 0.310, and an R2 of 0.053. Meanwhile, the newly developed EI models showed improved performance, with the best one achieving a mean squared error of 0.025, root mean squared error of 0.157, and R2 of 0.610. The existing EI exhibited significant associations: the click depth index (hazard ratio [HR] 0.49, 95% CI 0.29-0.84; P<.001) and loyalty index (HR 0.17, 95% CI 0.09-0.31; P<.001) were significantly associated with improved survival, whereas the recency index exhibited no significant association (HR 1.30, 95% CI 1.70-2.42; P=.41). Among the new EI models, the EI with a menu combination of menus available in the app's free version yielded the most promising result. Furthermore, it exhibited significant associations with the loyalty index (HR 0.32, 95% CI 0.16-0.62; P<.001) and the recency index (HR 0.47, 95% CI 0.30-0.75; P<.001). CONCLUSIONS: The newly developed EI model outperformed the existing model in terms of the prediction of long-term user engagement and compliance in a mobile health app context. We emphasized the importance of log data and suggested avenues for future research to address the subjectivity of the EI and incorporate a broader range of indices for comprehensive evaluation.