Pings
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0 Answers 0 Votes
What are the key immune mechanisms underlying transplant tolerance, and which novel strategies show promise for clinically safe rejection prevention?
Despite the continuous progress of immunosuppressants, long-term transplant rejection and drug toxicity remain major challenges. Transplant tolerance (a donor specific immune non responsive state that does not rely on sustained immune suppression) remains a difficult goal to achieve. The key mechanisms include central and peripheral immune regulation (such as regulatory T cells, immune exhaustion, clonal clearance, myeloid suppressor cells, etc.). The new strategies include co stimulatory...
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4 Answers 0 Votes
How can deep learning architectures be designed to improve generalization under limited or noisy training data while maintaining robustness and interpretability?
Deep learning models have achieved remarkable performance across domains such as computer vision, natural language processing, and scientific modeling. However, challenges remain in areas including generalization beyond training distributions, interpretability of learned representations, and robustness to noisy or limited datasets. I am particularly interested in understanding which architectural innovations, training strategies, or theoretical insights have shown the most promise in...
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1 Answer 0 Votes
. Is there a test that utilises anti-PSA monoclonal antibodies to localise PSA-avid tumour in the body?
The issue of a persistently rising Prostatic Surface Antigen (PSA) level in blood post prostatectomy for cancer of the prostate remains problematic in clinical practice especially in patients without evidence of local recurrence or metastatic disease on MRI/PET Scan.
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3 Answers 0 Votes
What are recent machanism of actions, minmum duration of years of heat exposure and minimum temperature required for various heat induced skin cancers, also opnion for Kangri Cancer to be answered
There are various heat induced cancers in world.Duration of exposure,minmum temperature required for inducing pre-malignant changes, sites of cancers are uner review. Mechanism of action is important in these cases Anyone having more knowledge of mechanism of action for Kangri Cancer or other heat induced cancers
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4 Answers 3 Votes
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6 Answers 0 Votes
What deep learning strategies best balance accuracy and interpretability in medical image segmentation for disease progression analysis?
Medical imaging (CT/MRI) segmentation is vital for tracking disease, but black-box models reduce clinical trust. Methods like explainable AI (XAI), uncertainty quantification, and hybrid modeling may bridge this gap. What approaches are most promising?
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6 Answers 4 Votes
How might AI-assisted peer review tools reshape scientific publishing, and what safeguards should be implemented to maintain review quality while addressing the increasing volume of submissions?
The peer-reviewing process is being faced with ever-growing challenges as submission rates are still rising exponentially in all areas. Journal editors are faced with the challenge of getting capable reviewers who are ready to volunteer their time, with a result being delays in reviewing, reviewer exhaustion, and worse, compromised quality. Meanwhile, AI technologies are accelerating their ability to review scientific manuscripts for methodology, statistical fitting, plagiarism screenings,...
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1 Answer 0 Votes
How can advancements in bioinformatics tools and multi-omics integration (genomics, transcriptomics, and proteomics) improve the early diagnosis of cancer in 2024?
How can bioinformatics tools optimize the integration of multi-omics data to identify highly specific and sensitive biomarkers for early cancer diagnosis? · What role does artificial intelligence play in analyzing complex biological datasets, and how can its predictions be validated for clinical use? · What challenges exist in the standardization of bioinformatics pipelines for regulatory approval and widespread clinical adoption? · How can researchers address issues such as data...
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3 Answers 2 Votes
Benchmark Dose Software: BMDS vs. PROAST: Are there important advantages/disadvantages to using one over the other?
Are there important advantages/disadvantages to using one over the other? Are there other software packages (e.g., R-based) that could be used for calculating benchmark doses?
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