Powerful AI Tools Scientific Researchers Should Not Miss Out On

Discover 24 AI tools revolutionizing scientific research. Supercharge your efficiency and effectiveness in the lab with tools for literature exploration, data analysis, and presentation.

Powerful AI Tools Scientific Researchers Should Not Miss Out On
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As Peter Drucker famously said, 'Efficiency is doing things right; effectiveness is doing the right things.' In the scientific research sphere, we're no strangers to doing the right things, but how often do we stop to consider if we're doing them efficiently?

As a tech enthusiast and STEM graduate, I've contemplated the potential of artificial intelligence (AI) in supercharging scientific research. While a researcher's creativity and critical thinking, honed by rigorous training, cannot be replaced, these 24 AI tools can elevate your scientific research to new heights - from reference management to molecule modeling and rapid, professional presentation creation.


For Biological and Life Sciences Research:

  1. BioRender: A tool for creating high-quality biological diagrams and illustrations. Ideal for visually conveying complex biological concepts in publications and presentations.
  2. BenchSci: An AI-driven platform for analyzing scientific literature and data to assist researchers in selecting the right antibodies for their experiments. Great for saving time and resources in antibody-based research.
  3. NextBio (now BaseSpace Correlation Engine): A platform for analyzing and integrating genomic and biomedical data, aiding in the discovery of relationships between genes, diseases, and drugs. Useful for researchers in genomics and biomedical sciences.

For Chemistry and Drug Discovery Research:

  1. DeepChem: An AI-powered toolset for computational drug design tasks, such as molecule generation, virtual screening, and property prediction. It's especially beneficial for researchers in drug discovery and development.
  2. PyBioMed: An AI-based software package for tasks including molecular feature extraction, protein function prediction, and drug-target interaction analysis. It's valuable for researchers in bioinformatics and biomedical research fields.
The PyBioMed package allows the calculation of numerous molecular descriptors, which highlight unique aspects of chemical structures. Image: PyBioMed

Literature Exploration:

  1. Semantic Scholar: A literature exploration tool, great for tracking related scientific articles based on content.
  2. ArXiv Sanity Preserver: A tool designed to enhance navigation and discovery of arXiv papers via personalized recommendations, paper summaries, and trending topics.
  3. Iris.ai: A tool that facilitates finding relevant articles based on research concepts, keywords, and content analysis, thereby aiding in efficient literature exploration.
Iris.ai offers an intuitive interface for AI-driven research, featuring knowledge mapping, smart exploration of relevant work, advanced filtering options, collaborative research capabilities, and direct access to legal, free full-text sources. Image: Iris.ai

4.   IBM Watson Discovery: An AI-powered tool for analyzing scientific literature, extracting insights, and generating summaries, useful for literature review and knowledge extraction.


Lab Documentation and Collaboration:

  1. LabTrove: An electronic lab notebook (ELN) tool that aids in capturing, managing, and sharing experimental data.
  2. ReadCube Papers: A comprehensive platform for organizing and annotating research libraries, discovering new articles, and managing references.

Reference Management:

  1. Mendeley: A comprehensive tool for organizing references, collaborating with peers, and generating citations, making it a go-to for effective literature management.
  2. Endnote: A reliable tool for reference organization, citation generation, and personal research paper library maintenance.
  3. Wizdom.ai: A platform for managing research libraries, discovering relevant articles, and facilitating peer collaboration.
Employing advanced machine learning algorithms, wizdom.ai persistently produces insights about scientific advancements, propelling research forward more effectively and swiftly. Image: Wizdom.ai

Data Analysis and Visualization:

  1. Plotly: A tool for creating interactive, dynamic scientific graphs. Supports multiple programming languages.
  2. Matplotlib: A versatile Python library for generating simple to complex static visualizations.
  3. Tableau: A user-friendly, no-coding-required tool for creating interactive data visualizations and dashboards.
Candice Che's #VizOfTheDay depicts LGBTQ+ representation in cinema using Tableau. Image: Tableau

4. D3.js: A powerful JavaScript library for creating custom, interactive data visualizations, requiring coding skills.


Writing Assistance and Language Refinement:

  1. QuillBot: A writing assistance tool that suggests alternative phrasing and paraphrasing to refine language and enhance clarity in scientific papers.
Quillbot uses advanced AI algorithms to not only adjust phrasing and word choice but also to enhance the overall clarity and fluidity of written content. Image: Quillbot.com

2. Manuscript Writer: A tool offering suggestions and writing assistance to improve language, structure, and content organization in scientific papers.

3. AllenAI: Provides a suite of tools and resources for natural language processing, machine learning, and computer vision research, particularly useful in scientific domains.


Presentation:

  1. Beautiful.AI: A tool for creating visually appealing slide decks, ideal for enhancing the aesthetic appeal of scientific presentations.
Beautiful.ai employs artificial intelligence and automated design to allow users to create visually impressive presentations with ease. Image: Beautiful.ai

2. Presentations.AI: A platform that automates slide generation and design,  making it efficient to create professional slide decks.

3. Wonder Slide: A tool providing pre-designed slide templates and layouts,    beneficial for crafting visually captivating and informative scientific presentations.


This is not an exhaustive list of all the available AI-powered tools out there. As artificial intelligence continues to make skyrocketing advancements, I am confident we'll see an ever-increasing number of tools designed to accelerate scientific research. Stay curious and keep exploring!

And let's not forget this crucial reminder:

While AI can help streamline and improve our methods, the true driving force behind scientific advancement is, and always will be, the human mind.