2025/09/12 Exploring Unique Animal Models for Neurological and Cancer Research. A Step-by-Step Guide with LLM Prompts Included Jeya Chelliah B.Vsc Ph.D. (The Link)
2025/08/11 AI-Driven Prompt Pack to Detect Fraudulent Scientific Papers Before They Pass Review.
Fraudulent scientific papers from paper mills are infiltrating even top-tier journals — wasting reviewers’ time, damaging scientific credibility, and polluting the literature you depend on. Paper Mill Radar™ is a carefully engineered AI Prompt Pack that turns ChatGPT (or any large language model) into a forensic assistant for spotting suspicious manuscripts before they contaminate your field (The Link).
2025/08/11 The Rise of Scientific Paper Mills: How Fraud Networks Are Outpacing Real Research A new study published in PNAS reveals that large, organized networks—known as paper mills—are producing and publishing fraudulent scientific papers at an industrial scale, often outpacing legitimate research growth.These entities include ghostwriting services, brokers, and even journal editors who cooperate to bypass peer review and secure publication.
By analyzing retraction patterns, image duplication, rapid editorial decisions, and anomalous citation behavior, the study uncovers coordinated fraud operations across journals and publishers, with some subfields like lncRNA and miRNA cancer research being especially targeted.
Alarming findings show:
Paper mill products are doubling every 1.5 years, faster than the rate of legitimate science.
◉Only ~28% of fraudulent papers are ever retracted.
◉Fraud networks evade deindexing by hopping between journals.
◉Even top publishers and journals have unknowingly enabled this activity.
The authors call for system-level reform, including stronger editorial oversight, disincentives for defection, and independent fraud detection systems to preserve scientific integrity.
2025/07/12 From Spreadsheet to Spotlight: How to Turn Raw Results into Publication-Ready Figures with AI (The Link)
2025/07/03 Prompt Toolkit for Troubleshooting Tumor Invasion & Migration Assays At the cutting edge of cancer research, experiments are driven by questions, not just techniques. Scientists rarely start their day thinking, “Let me troubleshoot a Western blot.” Instead, they’re asking…
“Why isn’t this tumor suppressor showing up in my analysis?”
“Why aren’t my cancer cells migrating like they did yesterday?”
“Why is my CRISPR knockout not yielding a phenotype?”
To align with how real research is done, we’ve organized this AI-powered troubleshooting toolkit by biological goal rather than just protocol type. (MetastasisFixer) (ApoptosisFix)
2025/07/03 AI-Powered Risk Assessment for Experimental Design in Life Science Research …Just as engineers stress-test bridges before they’re built, scientists should stress-test experiments before they’re run. Proactively assessing potential failure points allows researchers to anticipate confounders, validate assumptions, and refine their approach before committing lab resources. (The Link)
2025/06/23 How a Single Prompt Could Help Uncover the Mystery of Distant Cell-to-Cell Communication. How do distant cells—separated by space and lacking direct contact—still manage to behave in perfect sync? Whether it’s heart cells beating together, neurons firing in unison across brain regions, or cancer cells switching states simultaneously, this phenomenon of long-range cellular synchrony defies conventional explanations. Are there hidden signaling networks that we’ve yet to discover? …. Cancer biology too reveals puzzling synchrony—cancer cells in different regions of a tumor often transition to invasive or therapy-resistant states simultaneously, indicating a level of communication beyond paracrine signaling. ….. (The Link)
2025/06/11 Ace Your Interview with This AI Prompt. In both academia and industry, interviews are pivotal moments that can shape your career trajectory. As scientists, we often spend years refining our technical skills, publishing papers, and managing experiments—but rarely do we receive training on how to articulate our strengths effectively in an interview setting. Practicing with mock interviews before the actual event can be a game-changer. It sharpens your ability to respond clearly, think critically on the spot, and communicate your research or achievements with confidence.
Practicing interview questions reduces anxiety, helps you avoid rambling or jargon-filled answers, and gives you the clarity to align your responses with the specific goals of your prospective employer. With large language models (LLMs) like ChatGPT, you can now simulate interview scenarios and receive feedback instantly, making preparation smarter, faster, and personalized (The Link).
2025/06/11 Unlocking Hidden Pathways in Neurological Disorders. AI-Powered Prompts to Accelerate Breakthrough Research in Alzheimer’s, Parkinson’s, and Multiple Sclerosis. This blog explores how differences in signaling behavior and cell communication underlie these diseases, why they are so difficult to treat, and how artificial intelligence (AI) may offer new avenues for discovery. (The Link).
2025/06/04 Use This AI Prompt to Review Your Research Paper or Grant Proposal in Minutes——With the Precision of a Scientific Peer (這個好玩)
2025/05/29 MMG Prompt Templates: Exploring Embryology–Cancer Connections (USD $49)
This set of 15 MMG prompts is designed to help scientists generate novel hypotheses by connecting embryological processes with cancer progression and therapy resistance. Since cancer often hijacks developmental pathways for growth and invasion, studying embryological mechanisms can reveal hidden layers of cancer biology.
✔️By using these prompts with ChatGPT or other AI tools, researchers can generate bespoke ideas tailored to their specific projects—no two users will come up with the same insights.
✔️Each prompt includes a suggested role and a customizable template to insert disease models, tissue types, or molecular features of interest. (Click here to view free samples)
★This toolkit provides 15 expert-crafted prompt templates for use with ChatGPT or any other large language model (LLM). Each prompt is structured to help researchers generate novel hypotheses about unknown intermediates, non-canonical steps, feedback loops, or signaling branches that might explain observed phenomena in their experimental system. (FreeSample Link)
2025/05/29 MMG-ncRNA™ — Mechanistic Map -Generator for Hidden Roles of Non-Coding RNAs
In the post-genomic era, scientists are increasingly aware that the majority of our genome does not code for proteins. However, what lies in the non-coding regions holds immense potential to unlock new frontiers in biology. Non-coding RNAs (ncRNAs) such as lncRNAs, miRNAs, circRNAs, and piRNAs have been found to perform critical regulatory roles in gene expression, cell behavior, stress responses, development, and disease.
✔️Despite their significance, most current scientific research focuses on well-annotated protein-coding genes or already published ncRNAs. This leaves vast territories of the transcriptome unexplored. Here lies the value of the MMG-ncRNA™ prompt template toolkit.
✔️MMG-ncRNA™ is designed to empower scientists to uncover hidden, potentially game-changing functions of non-coding RNAs specific to their unique research questions. (Free Sample Link)
2025/05/02 AI Prompt Templates for Scientists: Mechanistic Map Generator (MMG) for Unsolved Pathways™
Mechanistic Map Generator (MMG) for Unsolved Pathways™ is an AI-powered toolkit designed to assist life science researchers in uncovering hidden or speculative links in biological pathways. These missing links are often critical to understanding disease mechanisms, cell signaling crosstalk, or the full flow of regulatory networks, but are difficult to identify due to gaps in the literature or experimental limitations.
2025/04/24 What Is a Prompt Template? A Powerful Tool for Scientists to Unlock the Potential of AI (DM link)
✔️In the fast-paced world of research, scientists are constantly seeking eficient tools to streamline their work, generate novel insights, and accelerate discovery. Large Language Models (LLMs) like ChatGPT have emerged as powerful allies in this quest. However, the key to unlocking their full potential lies in how we prompt them. That’s where prompt templates come in.
✔️A prompt template is a structured prompt that includes replaceable variables or placeholders. Instead of writing a new prompt every time you want to explore a different angle or research question, a prompt template allows you to simply plug in your speci c data—whether it’s a type of cancer, a gene of interest, or an experimental condition. You copy, replace the placeholders, and paste it into the LLM. It’s that simple.
2025/04/24 AI Prompt Templates for Scientists: Unlocking the Epigenetic Code in Cancer Research (15組要價USD 29) This template pack is designed for cancer researchers interested in exploring the complex and dynamic landscape of epigenetic reprogramming in cancer.
✔️These prompts are tailored for ChatGPT or other LLMs to generate novel research questions, therapeutic concepts, mechanistic insights, and translational applications across the cancer epigenome spectrum.
✔️This pack contains 15 carefully crafted prompt templates, each focused on a unique angle of cancer epigenetics. These prompts can be run multiple times with different input contexts to generate a wide range of novel ideas, increasing your chances of identifying a breakthrough discovery.
✅Use these prompts by replacing placeholders with your specific cancer type, experimental context, gene of interest, or epigenetic mechanism. Each template is engineered to stimulate hypothesis generation and spark innovation in cancer epigenetics. Get a sneak peek at how our prompt templates work! These free samples give you a taste of the value packed into the full version.
⬆︎ start of 2025 ⬆︎
2024/10/15 The Art of Mentorship in Research: Nurturing the Next Generation of Scientists (Link)
2024/09/17 The Silent Killer of Scientific Progress: How the ‘Publish or Perish’ Culture Undermines Innovation (Link)
2024/09/09 Strategies for Reviewing a Scientific Paper: An Unbiased Approach (Link)
2024/09/09 Harnessing AI Tools for Scientific Research: A Guide for Researchers (有Genomics 相關) (Link)
2024/08/22 Effective Strategies and Etiquette for Reviewing Peer Grant Proposals (Link)
2024/07/31 How to Use ChatGPT to Format Your Scientific Manuscript According to Journal Guidelines (Link)
2024/07/17 Troubleshooting Guide for Life Science Researchers (Link)
2024/06/25 DNA Pausing as a Diagnostic Tool for Cancer: Potential and Challenges 😍 (Link)
2024/06/25 How DNA Polymerase Pausing Becomes a Rare and Difficult-to-Detect issue in PCR (Link)
2024/06/07 Innovative Experimental Approaches to Understand Cancer Immune Escape (Link)
2024/06/07 How ChatGPT Enhances Brainstorming in Life Science Research (Link)
2024/05/27 Breaching the Tumor Microenvironment: Challenges and Novel Strategies (Link)
2024/05/27 Revolutionizing Data Management in Life Science Research Labs with AI (Link)
2024/05/20 Strategies for Troubleshooting Experimental Failures in Life Sciences (Link)
2024/05/20 Unleashing the Potential of ChatGPT: A Prompt Every Scientist Should Use (Link)
2024/05/13–The Untapped Potential of AI in Your Lab (Link)
2024/05/13–Streamline Your Lab Work: A Guide to Real-Time Documentation with AI (Link)
2024/05/13–Maximizing Your Interactions with AI: Strategies for Effective Prompt Writing (Link)
2024/04/20– 有AM Chinnaiyan new archive: A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations
2024/04/16–eScience 分享 Strategies for Resolving Conflicts in the Lab)
2024/04/16–Best Practices for Fair Authorship in Academic Papers
2024/04/16–Key Cell Receptors and Their Roles in Tumorigenesis
2024/04/16–cutting edge research A Novel Approach to Targeting Cell Receptors in Solid Tumors
2024/04/16–cutting edge research Utilizing Astronomical Methods to Enhance High-Resolution Immune Cell Mapping in Humans
2024/04/11– Could Single-Cell Sequencing Be the Future of Diagnostic Medicine?
2024/04/10– Automated Single Cell Sequencing Diagnostics Platform.
2024/04/10– How Single-Cell Sequencing Is Revolutionizing Our Understanding of Biology?
2024/04/10– AI and Spatial Transcriptomics Drive Medical Innovation.
2024/02/14 Mapping the Tumor Microenvironment with Single-Cell Sequencing: A Multidisciplinary Approach to Revolutionize Cancer Biology (Link)
2024/02/06 Quantum Computing Meets Biology: A Convergence for Breakthroughs (Link)
2024/02/04 The Role of Custom GPTs in Scientific Innovation (Link)
⬆︎ start of 2024 ⬆︎
⬇︎ end of 2023 ⬇︎
2023/12/18 eScience 分享chtGPT 幫忙挑Journal
2023/12/08 硬要提前推出雙子星，這樣真的好嗎，小谷? 加油啊!
2023/12/08(eScience 分享 format paper)
2023/11/28(eScience 分享 撰寫 hypothesis)
2023/11/15 心智圖及聊天機器人–讚! 如何利用聊天機器人寫履歷 (eScience 分享)
2023/04/14 用力推 找時間升級一下歐 <🤓> (使命已達)
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