Resources & News

This article provides 100 ready‑to‑use AI prompts to help medical and scientific professionals create high‑quality slide presentations with MACg. The prompts are organized into practical categories, including clinical education, drug and mechanism‑of‑action decks, PubMed‑driven evidence reviews, specialty teaching, medical affairs and HEOR, training and curriculum, data‑visualization, and conference or grant presentations. Each prompt uses clear “Instruction:” wording and customizable placeholders (e.g., [condition], [audience], [timeframe]) so users can quickly adapt them to their specific topic and setting. By removing blank‑slide paralysis, the collection speeds up evidence‑based slide creation while supporting consistent, structured, and compliant communication.

This article shares 10 practical tips for medical writers, pharma/biotech professionals, HCPs, and researchers on how to use MACg and other AI solutions effectively and responsibly. It emphasizes that MACg's AI agent training knowledge is not a citable evidence base and must be anchored in real, verifiable sources such as publications, CSRs, labels, guidelines, and internal documents. Readers are encouraged to treat all AI outputs as Version 0.1, iterating with expert review rather than accepting the first draft. The article frames MACg as a drafting and thinking assistant, not an autonomous author, and stresses the importance of clear prompts about audience, purpose, region, timeframe, and scope. It recommends breaking complex projects into smaller tasks, using MACg to improve structure and clarity, and explicitly asking for limitations and caveats. Finally, it advocates creating institutional checklists and making expert human review and sign‑off mandatory for any impactful content.

Have you ever struggled to learn how to summarize a research article? You’re not alone. Research papers are packed with technical jargon and endless data, making it a real struggle to extract the key points without getting lost in the details. However, with the right approach, you can break down even the most complex papers into clear, digestible summaries without spending hours staring at your screen.

Artificial intelligence (AI) is revolutionizing life sciences by enhancing research, content creation, diagnostics, and drug development. However, AI hallucinations—factually incorrect outputs unsupported by data—pose significant challenges. These errors can stem from incomplete training data, complex models, or ambiguous prompts. For instance, AI might fabricate citations or misinterpret findings in biomedical research. An editorial in Nature highlights these issues, emphasizing the need for caution in AI's scientific applications. To mitigate hallucinations, experts recommend refining prompts, employing human oversight, and leveraging Explainable AI (XAI) to ensure transparency and reliability. Regularly updating models and using robust training data can further reduce errors. Despite these challenges, AI's potential in life sciences is immense. By adopting best practices, professionals can harness AI's transformative power while maintaining accuracy and trustworthiness.

Artificial intelligence-powered platforms are the ultimate writing assistants, improving efficiency and increasing productivity in the life sciences industry. However, concerns about data security are limiting the deployment of AI at many institutions. Here are some tips for using AI in life sciences for content generation while avoiding security risks.

Navigating PubMed's vast database challenges life sciences professionals, often leading to overlooked insights. MACg, a specialized AI tool, transforms research by understanding scientific content, streamlining literature reviews, and enhancing content creation. It significantly reduces research time, enabling informed decisions and accelerating scientific discovery across various sectors.

Artificial intelligence (AI) is more than a technological trend; it's a transformative force reshaping the life sciences. From drug discovery to laboratory practice and regulatory submissions, AI's integration offers unprecedented opportunities for biotechnology, pharmaceuticals, and healthcare professionals. Understanding how AI influences work and careers in this field is essential for staying relevant and excelling in an evolving industry.

AI is transforming the life sciences industry by creating new job opportunities and enhancing efficiency. The market is projected to grow significantly, driven by AI's role in drug discovery and personalized medicine. New roles such as AI-driven drug discovery scientists and genomic data analysts are emerging. Despite AI's capabilities, human expertise remains essential for critical thinking and ethical oversight. Professionals must adapt by upskilling and leveraging AI as a partner. Tools like MACg enhance productivity and support professionals in this evolving field. AI's impact promises a bright future with opportunities for growth and innovation in life sciences.

This article explores 10 breakthrough AI applications that augment research, diagnostics, data analysis, health monitoring, and more.

Generative AI tools are changing writing workflows and increasing productivity. Professionals should learn to instruct (prompt) these tools to get the best output. This quick guide, tailored specifically for life sciences, provides tips and strategies for maximizing MACg’s powerful capabilities. By incorporating these prompting tips and leveraging MACg's features, life sciences professionals can significantly enhance their research, writing, and communication workflows.

Updating an existing PowerPoint deck no longer has to mean hours of manual rewriting and reformatting. This article shows a practical, step‑by‑step workflow for using AI (e.g., MACg) to generate new, evidence‑based slides and seamlessly integrate them into your current presentation. Instead of asking AI to “fix” an entire deck, you'll learn how to target specific sections, brief the AI with the right sources, generate PowerPoint‑ready slides, and then merge and restyle them so they match your original look and feel. The result is faster updates, higher consistency, and full human control over scientific quality.

Generative AI is reshaping continuing medical education (CME) writing, but it won't replace medical writers—it will empower those who learn to use it as a collaborative partner. AI excels at summarizing literature, structuring content, and sparking creative ideas, yet it lacks the judgment, ethical reasoning, and contextual insight required for high‑stakes medical education. Human writers remain essential for accuracy, compliance, bias detection, and learner-centered design. Tools like MACg, built specifically for medical writers, model responsible human–AI collaboration by securing data, integrating PubMed, managing citations, and lightening mechanical tasks so writers can focus on synthesis, equity, and meaningful engagement.

AINGENS has launched the MACg AI Scientific Slide Generator, a new capability inside its MACg platform that lets life sciences teams turn PubMed search results and scientific documents into citation‑correct slide decks in minutes. Built specifically for medical affairs, clinical research, HEOR, medical information, and scientific communications, the tool differs from generic AI slide makers like Copilot, ChatGPT, and Gamma by integrating PubMed search, Reference Collections, and an AMA/APA/MLA citation engine into the slide workflow. Users can design their deck structure upfront, then generate slides with titles, bullets, charts, tables, images, and infographics, all fully editable. The slide generator keeps slide‑level citations and reference slides synchronized as content moves, ensuring accuracy and traceability. Integrated visual tools support scientific charts and diagrams, while templates and PowerPoint/PDF export make it easy to reuse and share decks. With MACg, professionals can search, write, cite, edit, and present on a single, evidence‑first platform.