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
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
Hepatitis B treatment drug Roche's long-acting pegylated interferon alpha 2a is not currently sold in Chinese Mainland, how much impact will it have on Chinese patients?
Pegylated interferon alfa-2a (Pegasys) has long been a cornerstone of finite therapy for chronic hepatitis B, offering the potential for functional cure through immune modulation. However, the Roche formulation is no longer marketed or distributed in Mainland China, and although domestically developed pegylated interferons and standard interferons remain available, many clinicians report that the efficacy, tolerability, and HBsAg seroclearance rates associated with the original product are...
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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 is the single greatest bottleneck preventing the gradual transfer and upload of human consciousness via brain-computer interfaces?
This question sits at the intersection of neuroscience, computer science, and philosophy. While BCI technology has advanced in motor decoding and sensory feedback, the concept of “consciousness transfer” or “mind uploading” remains deeply speculative. I would like to ask the community: In your view, is the primary barrier fundamentally technological—such as the resolution limit of neural interface hardware, or our inability to map and simulate the ∼100 billion synapses in real time? Or is it...
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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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9 Answers 13 Votes
Can pesticides penetrate into fruits and vegetables as well as on their surface? Is it possible to completely remove pesticide residue?
Can pesticides penetrate not only the outside but also the inside of vegetables and fruits? How to remove pesticide residue from the surface? Is it possible to completely remove pesticide residue?
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4 Answers 0 Votes
What threshold of urinary cadmium (Cd-U) is currently considered indicative of early renal tubular dysfunction in exposed adult populations?
I am conducting a study on chronic environmental cadmium exposure and its nephrotoxic effects, particularly focusing on early biomarkers of renal tubular damage. Several sources suggest 2 µg/g creatinine as a reference point, but variability exists depending on population, sex, and co-exposure. Could experts clarify which threshold (e.g. 1 µg/g, 2 µg/g, or 5 µg/g creatinine) is most reliable or currently used in risk assessments and clinical practice?
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9 Answers 1 Vote
Can we consider that epidrugs can constitute a good therapeutic strategy against cancer diseases?
Recently, it has been demonstrated that epigenetic perturbations are mainly involved in cancer development. Can we consider that epidrugs can constitute a good therapeutic strategy against cancer diseases ?
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