AIMC Topic: Drug Delivery Systems

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BCM-DTI: A fragment-oriented method for drug-target interaction prediction using deep learning.

Computational biology and chemistry
The identification of drug-target interaction (DTI) is significant in drug discovery and development, which is usually of high cost in time and money due to large amount of molecule and protein space. The application of deep learning in predicting DT...

Pathway of transient electronics towards connected biomedical applications.

Nanoscale
Transient electronic devices have shown promising applications in hardware security and medical implants with diagnosing therapeutics capabilities since their inception. Control of the device transience allows the device to "dissolve at will" after i...

Recent Advances in the Applications of Additive Manufacturing (3D Printing) in Drug Delivery: A Comprehensive Review.

AAPS PharmSciTech
There has been a tremendous increase in the investigations of three-dimensional (3D) printing for biomedical and pharmaceutical applications, and drug delivery in particular, ever since the US FDA approved the first 3D printed medicine, SPRITAMĀ® (lev...

Biphasic burst and sustained transdermal delivery in vivo using an AI-optimized 3D-printed MN patch.

International journal of pharmaceutics
The objective of the present study was to fabricate microneedles for delivering lipophilic active ingredients (APIs) using digital light processing (DLP) printing technology and quality by design (QbD) supplemented by artificial intelligence (AI) alg...

Bioinspired microrobots: Opportunities and challenges in targeted cancer therapy.

Journal of controlled release : official journal of the Controlled Release Society
Chemotherapy is still the most effective technique to treat many forms of cancer. However, it also carries a high risk of side effects. Numerous nanomedicines have been developed to avoid unintended consequences and significant negative effects of co...

Computational Biomaterials: Computational Simulations for Biomedicine.

Advanced materials (Deerfield Beach, Fla.)
With the flourishing development of material simulation methods (quantum chemistry methods, molecular dynamics, Monte Carlo, phase field, etc.), extensive adoption of computing technologies (high-throughput, artificial intelligence, machine learning,...

Microrobots for Targeted Delivery and Therapy in Digestive System.

ACS nano
Untethered miniature robots enable targeted delivery and therapy deep inside the gastrointestinal tract in a minimally invasive manner. By combining actuation systems and imaging tools, significant progress has been made toward the development of fun...

Technical and engineering considerations for designing therapeutics and delivery systems.

Journal of controlled release : official journal of the Controlled Release Society
The newly-emerged pathological conditions and increased rates of drug resistance necessitate application of the state-of-the-art technologies for accelerated discovery of the therapeutic candidates and obtaining comprehensive knowledge about their ta...

DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets.

Communications biology
The druggability of targets is a crucial consideration in drug target selection. Here, we adopt a stochastic semi-supervised ML framework to develop DrugnomeAI, which estimates the druggability likelihood for every protein-coding gene in the human ex...