Advancements in microneedle fabrication techniques: artificial intelligence assisted 3D-printing technology

Drug Delivery and Translational Research, Journal Year: 2024, Volume and Issue: 14(6), P. 1458 - 1479

Published: Jan. 13, 2024

Language: Английский

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3D Bioprinting of Natural Materials and Their AI-Enhanced Printability: A Review

Bioprinting, Journal Year: 2025, Volume and Issue: unknown, P. e00385 - e00385

Published: Jan. 1, 2025

Language: Английский

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A Review of 3D-Printing of Microneedles

Pharmaceutics, Journal Year: 2022, Volume and Issue: 14(12), P. 2693 - 2693

Published: Dec. 1, 2022

Microneedles are micron-sized devices that used for the transdermal administration of a wide range active pharmaceutics substances with minimally invasive pain. In past decade, various additive manufacturing technologies have been fabrication microneedles; however, they limitations due to material compatibility and bioavailability time-consuming expensive processes. Additive (AM), which is popularly known as 3D-printing, an innovative technology builds three-dimensional solid objects (3D). This article provides comprehensive review different 3D-printing potential revolutionize microneedles. The application 3D-printed microneedles in fields, such drug delivery, vaccine cosmetics, therapy, tissue engineering, diagnostics, presented. also enumerates challenges posed by technologies, including cost, limits its viability large-scale production, microneedle-based materials human cells, concerns around efficient large dosages loaded Furthermore, optimization microneedle design parameters features best printing outcomes paramount interest. Food Drug Administration (FDA) regulatory guidelines relating safe use outlined. Finally, this delineates implementation futuristic artificial intelligence algorithms, 4D-printing capabilities.

Language: Английский

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Application of artificial intelligence in 3D printing physical organ models

Materials Today Bio, Journal Year: 2023, Volume and Issue: 23, P. 100792 - 100792

Published: Sept. 15, 2023

Artificial intelligence (AI) and 3D printing will become technologies that profoundly impact humanity. of patient-specific organ models is expected to replace animal carcasses, providing scenarios simulate the surgical environment for preoperative training educating patients propose effective solutions. Due complexity manufacturing, it still used on a small scale in clinical practice, there are problems such as low resolution obtaining MRI/CT images, long consumption time, insufficient realism. AI has been effectively powerful problem-solving tool. This paper introduces printed models, focusing idea application manufacturing models. Finally, potential 3D-printed discussed. Based synergy between benefit model facilitate medical field, use making reality.

Language: Английский

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Predicting pharmaceutical inkjet printing outcomes using machine learning

International Journal of Pharmaceutics X, Journal Year: 2023, Volume and Issue: 5, P. 100181 - 100181

Published: April 18, 2023

Inkjet printing has been extensively explored in recent years to produce personalised medicines due its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films complex polydrug implants. However, the multi-factorial nature of inkjet process makes formulation (e.g., composition, surface tension, viscosity) parameter optimization nozzle diameter, peak voltage, drop spacing) an empirical time-consuming endeavour. Instead, given wealth publicly available data on pharmaceutical printing, there is potential for a predictive model outcomes be developed. In this study, machine learning (ML) models (random forest, multilayer perceptron, support vector machine) predict printability drug dose were developed using dataset 687 formulations, consolidated in-house literature-mined inkjet-printed formulations. The optimized ML predicted formulations with accuracy 97.22%, quality prints 97.14%. This study demonstrates that can feasibly provide insights prior preparation, affording resource- time-savings.

Language: Английский

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Inkjet Printing of Pharmaceuticals

Advanced Materials, Journal Year: 2023, Volume and Issue: 36(11)

Published: Nov. 10, 2023

Inkjet printing (IJP) is an additive manufacturing process that selectively deposits ink materials, layer-by-layer, to create 3D objects or 2D patterns with precise control over their structure and composition. This technology has emerged as attractive versatile approach address the ever-evolving demands of personalized medicine in healthcare industry. Although originally developed for nonhealthcare applications, IJP harnesses potential pharma-inks, which are meticulously formulated inks containing drugs pharmaceutical excipients. Delving into formulation components key adaptable material deposition enabled by unraveled. The review extends its focus substrate including paper, films, foams, lenses, 3D-printed showcasing diverse advantages, while exploring a wide spectrum therapeutic applications. Additionally, benefits hardware software improvements, along artificial intelligence integration, discussed enhance IJP's precision efficiency. Embracing these advancements, holds immense reshape traditional processes, ushering era medical precision. However, further exploration optimization needed fully utilize capabilities. As researchers push boundaries IJP, vision patient-specific treatment on horizon becoming tangible reality.

Language: Английский

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Biosensors for prostate cancer detection

Trends in biotechnology, Journal Year: 2023, Volume and Issue: 41(10), P. 1248 - 1267

Published: May 4, 2023

Prostate cancer (PC) is one of the most life-threatening diseases in men and causes numerous deaths worldwide. Early on-time detection PC could dramatically improve survival.Biomarkers are useful for monitoring due to their ease sampling abundancy. Biomarkers can also be used designing reliable platforms.Various types biosensors have provided simple, sensitive, specific, cost-effective biomarkers patients' biological fluids, such as serum urine.Recent advances application biosensing platforms pave way toward clinical practice. common tumors a leading cause mortality among men, resulting ~375 000 annually Various analytical methods been designed quantitative rapid biomarkers. Electrochemical (EC), optical, magnetic developed detect tumor point-of-care (POC) settings. Although POC shown potential biomarkers, some limitations, sample preparation, should considered. To tackle shortcomings, new technologies utilized development more practical biosensors. Here, immunosensors, aptasensors, genosensors, paper-based devices, microfluidic systems, multiplex high-throughput platforms, discussed. Despite developments diagnosis treatment, remains death [1.Siegel R.L. et al.Cancer statistics, 2022.CA Cancer J. Clin. 2022; 72: 7-33Crossref PubMed Scopus (4937) Google Scholar,2.Yigci D. al.3D bioprinted glioma models.Prog. Biomed. Eng. 4042001Crossref (5) Scholar]. Worldwide, fifth was responsible 375 2020 [3.Sung H. al.Global Statistics 2020: GLOBOCAN estimates incidence worldwide 36 cancers 185 countries.CA 2021; 71: 209-249Crossref (37388) Due inconvenience physical examination lack specific symptoms, often diagnosed its advanced stages. Diagnosis initial stages plays an undeniable role increasing survival rate achieving timely treatment. diagnostic approaches proposed determination urine physical/digital rectal examination, prostate tissue biopsy imaging (e.g., resonance transrectal ultrasound) [4.Soares S.C.M. al.Digital associated factors early cancer: cross-sectional population-based study.BMC Public Health. 2019; 19: 1573Crossref Scholar, 5.Jang al.Transrectal ultrasound photoacoustic probe cancer.Sensors (Basel). 21: 1217Crossref (6) 6.Hicks R.M. al.Diagnostic accuracy (68)Ga-PSMA-11 PET/MRI compared with multiparametric MRI cancer.Radiology. 2018; 289: 730-737Crossref (102) minimize trauma pain during prevent side effects anesthesia, (see Glossary) present solution. The main purpose investigations field diagnostics identify high specificity sensitivity minimal false-positive/negative results. accurate appropriate biomarker indicate presence or severity disease enable physicians determine effective treatment management strategy. we review developing diagnostics. In contrast other recently published articles, this Review discusses various paper-based, multiplexed, microfluidic, integrated biosensors) consideration receptors transducers. Among protein PC, prostate-specific antigen (PSA) kallikrein-like seine protease glycoprotein that encoded by KLK3, approved FDA 1986 1994 prognostic nonsymptomatic patients [7.Rittenhouse H.G. al.Human kallikrein 2 (hK2) (PSA): two closely related, but distinct, kallikreins prostate.Crit. Rev. Lab. Sci. 1998; 35: 275-368Crossref (285) Scholar,8.Van Poppel al.Serum PSA-based Europe globally: past, future.Nat. Urol. 562-572Crossref (24) concentration PSA nonspecifically increases not only benign prostatic hyperplasia (BPH) prostatitis [9.Yan Y. al.On road prognosis: current status future advances.Int. Mol. 22: 13537Crossref (4) However, threshold 3–10 ng/ml determined sufficient surveillance. Cases concentrations between 3 10 considered grey zone referred further tests [10.Falagario U.G. al.Prostate biomarkers: based on different scenarios.Crit. : 1-12Google has aided there still limitations insufficient positive predictive value (PPV) noticeable false-negative results [11.Wolf A.M. al.American Society guideline update 2010.CA 2010; 60: 70-98Crossref (741) address commercial 4Kscore, Proclarix, serum-based health index (PHI), ProMark were measure several instead alone [12.Klocker al.Development validation novel multivariate risk score guide decision clinically significant cancer.BJUI Compass. 2020; 1: 15-20Crossref Scholar,13.Parekh D.J. al.A multi-institutional prospective trial USA confirms 4Kscore accurately identifies high-grade cancer.Eur. 2015; 68: 464-470Abstract Full Text PDF Multiple isoforms reported PSA. Free (fPSA), enzymatically inactive ~33-kDa fraction PSA, applied combination [14.Jansen F.H. al.Prostate-specific isoform p2PSA total free improves detection.Eur. 57: 921-927Abstract (212) Another named p2PSA, detection. PHI assay measures fPSA, through formula conditions. Human glandular kallikrein-2 structurally similar major KLK3 important [15.Schedlich L.J. al.Primary structure human gene.DNA. 1987; 6: 429-437Crossref Compared BPH, hK2 elevated [16.Becker C. al.Discrimination from those measurements serum.J. 2000; 163: 311-316Crossref Additionally, recognized predictor gray [17.Kwiatkowski M.K. al.In prostatism ratio discrimination within "gray zone" 4 ng/ml.Urology. 52: 360-365Abstract (115) 50–100-fold less than since 10–50% [18.van Gils M.P.M.Q. al.Innovations markers European research P-Mark project.Eur. 2005; 48: 1031-1041Abstract (0) Remarkably, h2K 4KscoreVR test (OPKO Health, Miami, FL, USA) using four (tPSA, h2K) purposes suspected [13.Parekh Scholar,19.Vickers A.J. panel reduce unnecessary data Randomized Study Screening Goteborg, Sweden.BMC Med. 2008; 19Crossref (194) Box 1 discuss emerging PC.Box 1Emerging PCUnderstanding neuroendocrine differentiation led PC. Admittedly, involvement cells growth widely recognized. These detected via immunohistochemical techniques applying antibodies against produced either malignant [128.Hu C.D. al.Neuroendocrine mechanism radioresistance failure.Front. Oncol. 5: 90Crossref (104) Scholar,129.Abrahamsson P.A. Neuroendocrine carcinoma.Prostate. 1999; 39: 135-148Crossref (291) Most aforementioned chromogranin (Cg)A CgB, chorionic gonadotropin, neuron-specific enolase (NSE), somatostatin members calcitonin gene family secreted into peripheral blood immunoassays [130.Parimi V. review.Am. Exp. 2014; 2: 273-285PubMed NSE CgA characteristics both [131.Kamiya N. al.Pretreatment level neuron (NSE) factor metastatic treated endocrine therapy.Eur. 2003; 44 (discussion 314): 309-314Abstract (68) Scholar,132.Ranno S. al.The chromogranin-A (CgA) cancer.Arch. Gerontol. Geriatr. 2006; 43: 117-126Crossref (28) Scholar].Considering association obesity overweight impact adipose tissue-derived hormones (adipokines), specifically omentin leptin, well VEGF hepatocyte (HGF) studied showed dramatic increase HGF, VEGF, omentin, leptin BPH. evaluation scheme [133.Fryczkowski M. al.Circulating levels HGF relevance marker cancer.Dis. Markers. 20183852401Crossref (23) Moreover, another study, pigment epithelium-derived (PEDF) investigated find whether these distinguish revealed VEGF/PEDF differentiate BPH suggesting it personalized prognosis [134.Rivera-Perez al.Evaluation PEDF preliminary study biopsies.Oncol. Lett. 15: 1072-1078PubMed Understanding Considering advantages over invasive sampling, which may result injury/trauma patients. Generally, urinary categorized proteins, DNA-based, RNA-based, exosomes, molecules. samples first 1980s. Later, studies after prostatectomy, might recurrence [20.Iwakiri al.An analysis before radical prostatectomy: evidence secretion periurethral glands.J. 1993; 149: 783-786Crossref Telomerase reverse transcriptase (TERT), crucial protecting telomeric ends chromosomes. Its hyperactivity observed majority PCs having active telomerase replicative senescence [21.Botchkina G.I. al.Noninvasive activity.Clin. Res. 11: 3243-3249Crossref Annexin A3, member calcium phospholipid binding family, cell migration metastasis With inverse correlation cancer, annexin A3 found Hence, provide develop noninvasive [22.Schostak al.Annexin urine: highly detection.J. 2009; 181: 343-353Crossref (80) Scholar,23.Gerke al.Annexins: linking Ca2+ signalling membrane dynamics.Nat. Cell Biol. 449-461Crossref (1163) matrix metalloproteinases (MMPs) invasiveness, growth, solid tumors, particularly demonstrated MMPs healthy people [24.Egeblad Werb Z. New functions progression.Nat. Cancer. 2002; 161-174Crossref MMP-9 act independent 82% [25.Roy R. al.Tumor-specific metalloproteinase fingerprinting: identification molecular weight species.Clin. 14: 6610-6617Crossref (138) simultaneous MMP vascular endothelial (VEGF) predict 1-year progression-free radiotherapy-treated Urinary higher controls [26.Miyake al.Urinary progression.Anticancer 25: 3645-3649PubMed Scholar,27.Chan L.W. radiation therapy: longitudinal kinetics throughout progression therapy.J. 2004; 499-506Crossref Sarcosine, byproduct glycine, control group [28.Sreekumar A. al.Metabolomic profiles delineate sarcosine progression.Nature. 457: 910-914Crossref (1791) Since undetectable trace amounts informative [29.Cernei al.Sarcosine biomarker--a review.Int. 2013; 13893-13908Crossref (PCA3), mRNA significantly overexpressed tissues [30.Hessels al.DD3(PCA3)-based 15-16): 8-15Abstract (588) PSA/PCA3 promising PCA3 performance [31.Bradley L.A. al.Comparative effectiveness review: testing cancer.J. 190: 389-398Crossref (70) Scholar,32.Roobol M.J. Contemporary cancer.Curr. Opin. 2011; 225-229Crossref (26) Biosensing devices conventional methods, tools enhanced biomolecules drugs body fluids blood, cerebrospinal fluid, urine, saliva, tears [33.Aliakbarinodehi al.Performance carbon nano-scale allotropes detecting midazolam paracetamol undiluted serum.IEEE Sensors 18: 5073-5081Crossref (12) Scholar,34.Shafaei al.Electrodeposition cerium oxide nanoparticles graphenized ceramic electrode (GCCE) sensitive isoprenaline differential pulse voltammetry (DPV).Anal. 55: 2418-2435Crossref (3) Enhanced EC, plasmonic Metal gold, silver, platinum, particles lower limit (LOD). outstanding physicochemical properties stability, large surface area, conductivity, carbon-based nanomaterials including graphene oxide, nanotubes, polymers, [35.Akbari Nakhjavani al.Gold silver bio/nano-hybrids-based electrochemical immunosensor ultrasensitive carcinoembryonic antigen.Biosens. Bioelectron. 141111439Crossref (53) 36.Sarabi M.R. printing microneedle arrays: challenges towards translation.J. 3D Print. 65-70Crossref 37.Rezapour Sarabi al.machine learning-enabled prediction 3D-printed features.Biosensors. 12: 491Crossref (1) Recently, (EC biosensors), extensively [38.George Kerry comprehensive applications nano-biosensor-based non-communicable communicable detection.Biomater. 9: 3576-3602Crossref While digital testing, indispensable desired. biosensor, antibodies, aptamers, cells, DNA serve biorecognition elements [39.Thevenot D.R. al.Electrochemical biosensors: recommended definitions classification.Biosens. 2001; 16: 121-131Crossref Scholar,40.Akbari CA15-3 patient plasma biosensor labeled beads.Biosens. 122: 8-15Crossref (52) transducer system chemical, thermal, piezoelectric, magnetic, mass-sensitive. Depending nature sensing platform (Figure 1), discussed three categories: immunoassays, aptamer-based probes, gene-based ligands. Furthermore, multiplexed Table summarizes Review.Table 1Biosensing biomarkersaAbbreviations: Ag@MCM, hybridized mesoporous silica nanoparticles; Anti-KLK3, Kallikrein related peptidase 3; Apt, aptamer; AuNC-Cys, gold nanocluster cysteine; AuNF, nanoflower; AuNRs, nanorods; Au-Spa, Au linked Staphylococcal A; C60, fullerene; CD14, cluster 14; CV, cyclic voltammetry; Cys, cysteamine; DETA, diethylenetriamine; DpAu, deposited gold; EN2: engrailed-2; Fc, ferrocene; FITC, fluorescein isothiocyanate; f-PSA, PSA; FTO, fluorine-doped tin oxide; GE, electrode; GOD, glucose oxidase; GOLM-1, Golgi 1; GS, sheets; HRP, horseradish peroxidase; IGF-1, insulin factor-1; IGFBP-3, insulin-like IL, ionic liquid; IL-6, interleukin-6; ITO, indium LF, label-free; N/A, available; PAA-GMNP, poly acrylic acid (PAA) modified PABA, para amino benzoic acid; PANI, polyaniline; PdNP, palladium PF-4, platelet factor-4; PICA/FGNs, poly(indole-6-carboxylic acid)/flower-like PMMA, poly(methyl methacrylate); rGO, reduced RuBPY, Tris(bipyridine)ruthenium(II) chloride; SA, streptavidin; SiNP, SiO2@Ag@SiO2 NPs, silica-coated assembled SiO2@Au-Ag Au-Ag NP alloy NPs;ssDNA, single stranded DNA; SWCNT, walled nanotube; SWV, square wave TA, tannic TSPs, tetrahedron structural probes.BiomarkerModification/ strategyLODLDRDetection methodRefsEC immunosensorsPSAMWCNT, IL/ sandwich20 pg/ml0.2–1.0 1–40 ng/mlDPV[43.Salimi al.Highly immunosensing liquid-carbon nanotubes electrode: biopsies.Biosens. 42: 439-446Crossref (128) Scholar]PSACys/Fc-PAMAMs/ LF0.001 ng/ml0.01 ng–100 ng/mlDPV[44.Cevik E. al.Construction ferrocene-PAMAM dendrimers.Biosens. 2016; 86: 1074-1079Crossref (61) Scholar]PSAGO, chit/ sandwich10 fg/ml5 pg/ml0.1 pg/ml 90 Up 35 ng/mlDPV,EIS[45.Kavosi B. al.Ultrasensitive nanoparticles/PAMAM dendrimer loaded enzyme aptamer triple signal amplification strategy.Biosens. 74: 915-923Crossref (195) Scholar]PSMAPMMA sheets/ LF9.5 ng/ml10–200 ng/mlEIS[46.Rezaei al.Design fabrication electrochemical-based nanofibrous biomarker, PSMA.Polym. Adv. Technol. 33: 1967-1977Crossref Scholar]PSAMWCNTs-IL-Chit-AuNPs–PAMAM/ sandwich1 pg/ml0.05-80 ng/mlDPV[47.Kavosi MWCNTS/chitosan/ionic liquid nanocomposite.Biosens. 20-28Crossref Scholar]PSAPdNP-PANI-C60/ sandwich1.95×10−5 ng/ml1.6×10−4 38 ng/mlCV[48.Suresh L. al.Fabrication polyaniline, fullerene-C60 nanocomposite: tool cancer.Electroanalysis. 32: 1439-1448Crossref (14) Scholar]PSAGS, Ag@MCM48/ Sandwich2 pg/ml0.01–10.0 ng/mlN/A[49.Li Y.Y. al.Label silica.Anal. Biochem. 469: 76-82Crossref (42) Scholar]PSASAM@electrode/LF100 ag/ml100 ag/ml up mg/mlEIS[50.Pihikova al.Aberrant sialylation antigen: label-free glycoprofiling samples.Anal. Chim. Acta. 934: 72-79Crossref (50) Scholar]PSMACys-AuNPs/ LF0.47 ng/ml0–5 ng/mlDPV[51.Kabay G. al.Disposable detection.Sensors Actuators B Chem. 360131667Crossref Scholar]ECL immunosensorsPSAAu-rGO, accelerator/ sandwich0.038 pg/ml0.0001 ng-mlECL[53.Fang Q. electrochemiluminescence CdWS nanocrystals Ag+@ UIO-66-NH2 coreaction acc

Language: Английский

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Electrochemiluminescent immunosensor for detection of carcinoembryonic antigen using luminol-coated silver nanoparticles

Microchimica Acta, Journal Year: 2023, Volume and Issue: 190(2)

Published: Jan. 30, 2023

Language: Английский

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AI-Based Metamaterial Design

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(23), P. 29547 - 29569

Published: May 29, 2024

The use of metamaterials in various devices has revolutionized applications optics, healthcare, acoustics, and power systems. Advancements these fields demand novel or superior that can demonstrate targeted control electromagnetic, mechanical, thermal properties matter. Traditional design systems methods often require manual manipulations which is time-consuming resource intensive. integration artificial intelligence (AI) optimizing metamaterial be employed to explore variant disciplines address bottlenecks design. AI-based also enable the development by parameters cannot achieved using traditional methods. application AI leveraged accelerate analysis vast data sets as well better utilize limited via generative models. This review covers transformative impact for current challenges, emerging fields, future directions, within each domain are discussed.

Language: Английский

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Review of Machine Learning applications in Additive Manufacturing

Results in Engineering, Journal Year: 2024, Volume and Issue: 25, P. 103676 - 103676

Published: Dec. 8, 2024

Language: Английский

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