AIMC Topic: Humans

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A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction.

Journal of magnetic resonance (San Diego, Calif. : 1997)
Multi-contrast magnetic resonance imaging (MRI) can provide richer diagnosis information. The data acquisition time, however, is increased than single-contrast imaging. To reduce this time, k-space undersampling is an effective way but a smart recons...

An introduction to causal inference for pharmacometricians.

CPT: pharmacometrics & systems pharmacology
As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic f...

Robot-Assisted Sacropexy with the Novel HUGO Robot-Assisted Surgery System: Initial Experience and Surgical Setup at a Tertiary Referral Robotic Center.

Journal of endourology
Robotic sacropexy (RSC) emerged in the last years as a valid alternative to the laparoscopic technique. However, the robotic approach is still limited by platform availability and concerns about cost-effectiveness. Recently, new robotic platforms jo...

Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning.

Science (New York, N.Y.)
Chimeric antigen receptor (CAR) costimulatory domains derived from native immune receptors steer the phenotypic output of therapeutic T cells. We constructed a library of CARs containing ~2300 synthetic costimulatory domains, built from combinations ...

Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN.

Sensors (Basel, Switzerland)
We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images. An independent pre-trained criterion is added to th...

Artificial Intelligence and Advanced Melanoma: Treatment Management Implications.

Cells
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplify...

Deep-Learning Algorithm and Concomitant Biomarker Identification for NSCLC Prediction Using Multi-Omics Data Integration.

Biomolecules
Early diagnosis of lung cancer to increase the survival rate, which is currently at a low range of mid-30%, remains a critical need. Despite this, multi-omics data have rarely been applied to non-small-cell lung cancer (NSCLC) diagnosis. We developed...

Pattern recognition of topologically associating domains using deep learning.

BMC bioinformatics
BACKGROUND: Recent increasing evidence indicates that three-dimensional chromosome structure plays an important role in genomic function. Topologically associating domains (TADs) are self-interacting regions that have been shown to be a chromosomal s...

Robotic hernia surgery IV. English version : Robotic parastomal hernia repair. Video report and preliminary results.

Chirurgie (Heidelberg, Germany)
The surgical treatment of parastomal hernias is considered complex and is known to be prone to complications. Traditionally, this condition was treated using relocation techniques or local suture repairs. Since then, several mesh-based techniques hav...