Pings
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1 Answer 0 Votes
What are the current hot topics in the study of critical points during the process of cell mutation and development into tumors? How to conduct in-depth research on the future use of AI?
Tumorigenesis is not a linear accumulation of mutations but rather a dynamic process punctuated by critical transition points—windows during which normal cells cross irreversible thresholds toward dysplasia, carcinoma in situ, and ultimately invasive malignancy. Understanding the molecular and ecological drivers of these “tipping points” is fundamental to early interception and prevention. I would like to ask the cancer biology and computational oncology community: Which specific transition...
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0 Answers 0 Votes
Are there any new biomarkers with clinical application potential for pancreatic cancer? Are there any new potentially exploitable molecules for predicting disease outcomes in the coming years?
Pancreatic ductal adenocarcinoma remains one of the most lethal malignancies, largely due to late diagnosis, profound heterogeneity, and resistance to conventional therapies. While CA19-9 remains the only widely used clinical biomarker, its limitations in sensitivity and specificity are well recognized. I would like to ask the gastroenterology, oncology, and translational research community: Which novel biomarker candidates—whether derived from liquid biopsy (ctDNA methylation, exosomal RNAs,...
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0 Answers 0 Votes
In order to achieve a radical cure for solid tumors, what aspects of technology do we need to increase investment in? What AI assisted methods are needed?
Despite remarkable advances in cancer immunotherapy, targeted therapy, and surgical techniques, true radical cure for most solid tumors—especially those with high heterogeneity, immunosuppressive microenvironments, and metastatic potential—remains elusive. Incremental improvements are no longer sufficient; we need transformative breakthroughs. From a clinician-scientist perspective working at the intersection of oncology and translational research, I would like to ask the community: Which...
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0 Answers 0 Votes
What are the most popular directions in tumor immune research that can be linked to traditional Chinese medicine at present?
Traditional Chinese medicine has long been practiced in cancer care, yet its mechanistic interface with modern tumor immunology remains underexplored. Given the recent advances in immuno-oncology—particularly in areas such as gut microbiota modulation, tumor microenvironment reprogramming, metabolic reprogramming of immune cells, and reversal of T cell exhaustion—I am interested in identifying which of these frontiers offer the most scientifically rigorous and translatable entry points for...
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0 Answers 0 Votes
Do we need quantum computers to develop treatment plans for tumors using artificial intelligence?
Do we truly need quantum computers to develop AI-driven treatment plans for tumors, or can classical computing—with better algorithms and hardware—still meet the challenge? Artificial intelligence is already being used in radiotherapy planning, drug regimen selection, and multi-omics prediction, but as models grow more complex and begin to integrate real-time imaging, genomic data, and spatiotemporal tumor dynamics, computational demands are rising sharply. Quantum computing is often proposed...
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0 Answers 0 Votes
What are the key bottlenecks in the immunocyte therapy for solid tumors?
Despite remarkable success in hematologic malignancies, adoptive immunocyte therapies—including CAR-T, TCR-T, and TIL—have shown limited efficacy in solid tumors. I would like to ask the community: In your view, what are the most critical rate-limiting barriers? Tumor immunosuppressive microenvironment? Poor infiltration and persistence? Antigen heterogeneity and on-target off-tumor toxicity? Metabolic fitness of effector cells? And which emerging strategies—such as next-generation CAR...
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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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4 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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5 Answers 1 Vote
For a change in the peer-reveiwing as an urgent need?
With an increasing number of Journal and other publication, the review by peer started to be difficult and very often nonqualified reviewers are solicited. Very often now the Journal send us a list that ressemble the directory a. This is a problem since many of the persons listed here do not have even a record over 10 and there are supposed to review works they don't know, and they are not qualified. I would like to start a huge discussion that can be sent to the main Journal to change the...
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Answer Accepted 2 Answers 0 Votes
How can AI-enhanced modeling reshape climate-resilient water management in data-scarce regions over the next decade?
Water security is becoming one of the most critical challenges of our time, particularly in regions where hydrological data is scarce or unreliable. At the same time, artificial intelligence and machine learning are revolutionizing how we model environmental systems. The question is: Can these technologies bridge the data gap, improve decision-making, and help design sustainable, climate-resilient water management systems? We're looking for scientific insights, innovative use cases, and...
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