Evidence map›Paper›PMID 40873165›Full record

ReviewCurrent drug discovery technologies2026

Current 3D Printing Technologies and their Potential Applications in Drug Delivery, Personalized Medicine & Pharmaceutical Sciences.

Virendra S Gomase, Arjun P Ghatule, Rupali Sharma, Sarang Pathak

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug discovery technologies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Virendra S GomaseS.P. Mandali's, Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, 400019, India.ORCID 0000-0003-2454-1779
Arjun P GhatuleDepartment of Emerging Technology, Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, 400019, India.
Rupali SharmaDepartment of Pharmaceutical Sciences, Amity Institute of Pharmacy (AIP), Amity University, Amity Education Valley, Pachgaon, Manesar, Gurgaon, 122413, Haryana, India.
Sarang PathakPreclinical and Clinical Trials, Techinvention Lifecare Private Limited, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPharmaceutical 3D printing has become a revolutionary technique that is revolutionizing drug research, personalized treatment, and medication delivery methods. This article examines how accurate dosing, complicated drug delivery methods, and personalized drug formulations are made possible by 3D printing, which helps the pharmaceutical sector overcome major obstacles. 3D printing opens the door to more efficient and patient-specific treatments by personalizing therapies and accelerating the development process. The purpose of this study is to explore the potential applications of current 3D printing technologies in drug delivery, personalized medicine, and pharmaceutical sciences to enhance treatment results and patient care.

methodsThe latest advancements in 3D printing technology utilized in the pharmaceutical sector were thoroughly examined. The main techniques studied are fused deposition modelling (FDM), stereolithography (SLA), and selective laser sintering (SLS), with a focus on their usage in the production of drug delivery devices, customized dosage forms, and bioprinted tissues. The study also looked at a range of materials, i.e., hydrogels, bioinks, and polymers, to assess their suitability for use in pharmaceutical applications.

resultsThe findings demonstrate significant advancements in the creation of customized pharmaceutical formulations which may be 3D printed to allow for exact dosages and modified release patterns. Additionally, bioprinting has demonstrated promise in regenerative medicine and tissue engineering. 3D printing is speeding up the creation of intricate drug delivery systems, like implants and patches, which improve treatment results and patient adherence in spite of technological and legal obstacles. DISCUSSION: This study highlights the transformative role of 3D printing in pharmaceutical sciences, particularly in enabling personalized medicine and advanced drug delivery systems. 3D printing techniques like FDM, SLA, and SLS have shown promising applications in producing customized dosage forms and complex drug delivery devices. The ability to tailor medications to individual patient needs enhances therapeutic outcomes and minimizes side effects. 3D printing has emerged as a potential tool in regenerative medicine and patient-specific solutions.

conclusionPharmaceutical 3D printing offers ground-breaking potential for customized treatment and medication creation. It enables the development of solutions that are tailored to the requirements of every patient, increasing therapeutic efficacy and minimizing adverse effects. Even if there are still issues, mainly with scalability and regulatory compliance, continuous improvements in materials and technology hold out the possibility of growing its use in healthcare. With its patient-centered, effective, and creative pharmaceutical production options, 3D printing is set to revolutionize the medical field. This study presents a current advancement in 3D printing technologies with their emerging applications in drug delivery, personalized medicine, and pharmaceutical sciences, highlighting innovative, patient-specific therapeutic solutions.

Indexed as

Drug Delivery SystemsPrecision MedicinePrinting, Three-DimensionalTechnology, PharmaceuticalBioprintingHumans3D printersbinder jettingdrug developmentFDMmaterial jettingstereolithography

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.