Nano and Microscale Light-based 3D Bioprinting for Tissue Engineering and Regenerative Medicine
Bibliographic record
Abstract
In this talk, I will present our laboratory's recent research efforts in developing micro and nano-scale bioprinting methods to create 3D tissue constructs using a variety of biomaterials and cells. These 3D printed scaffolds are functionalized with precise control of micro-architecture, mechanical (e.g. stiffness), chemical, and biological properties. Such functional scaffolds allow us to investigate cell-microenvironment interactions at nano-and micro-scales in response to integrated mechanical and chemical stimuli. From these fundamental studies we have been creating both in vitro and in vivo precision tissues for tissue regeneration, disease modeling, and drug discovery. Examples including 3D bioprinted liver and heart models will be discussed. I will also showcase 3D printed biomimetic scaffolds for treating spinal cord injury. Throughout the presentation, I will discuss engineer's perspectives in terms of design innovation, biomaterials, mechanics, and scalable biomanufacturing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".