The Transformative
Role of Artificial
Intelligence in
Biology:
A Seminar on Advancements and Applications
of AI in Biology
Surabhi Surjith IX-A
Overview of Artificial
Intelligence
● AI is a computer science field that creates smart
machines.
● It uses algorithms and models to make machines learn,
solve problems, understand language, and think, similar
to how humans do.
● AI has different types and methods for specific tasks.
Overview of Artificial
Intelligence
•Applications: Text analysis and sentiment analysis
•Chatbots and virtual assistants
•Language translation and summarization
The Evolution of AI in Biology
Current
Early Applications :
State-of-the-Art
Future Prospects:
Technologies:
a)Genomic
Sequencing a) Precision Medicine:
a)AlphaFold:
b)Drug Discovery b) Synthetic Biology
b)Medical Imaging:
GENOMIC SEQUENCING
•Genomic sequencing is the process of figuring out the order
of the building blocks in our DNA.
•AI algorithms analyze the patterns and sequences in the
DNA data, making sense of the information much faster
than humans could.
•AI makes the reading and understanding of our DNA much
quicker and more efficient, contributing to advancements
in medicine and biology.
DRUG DISCOVERY
Choosing the Right Target: analyze biological data to predict
potential drug targets
Testing Thousands of Compounds:. predicting which
compounds might work, saves time and money.
Designing Super Drugs: suggesting new drug structures
Personalized Medicines for You: checks your genetic
information & finds about which best medicines
Discovering New Uses for Old Medicines: looks at existing
medicines and suggests new ways they could help.
AlphaFold: The AI Wizard Solving the
Protein Puzzle
Protein Shapes Matter: shape decides
what job they can do
Enter AlphaFold, the Wizard: predict
protein shapes
Why It Matters: helps us understand
how our bodies work
find new ways to treat diseases.
Medical Imaging: Peering Inside with
Scientific Vision
It is a sophisticated technique
that employs advanced
technologies to visualize the
internal structures of the human
body.
Eg. X-rays, CT scans, and MRIs
PRECISION MAKING
•Artificial Intelligence is set to customize medical
plan designed by studying your genetic code.
•Precision medicine looks at the unique genetic
blueprint to understand what might work best for
you.
•analyzes vast amounts of genetic data to find
patterns and clues.
Synthetic Biology: Crafting New
Possibilities with AI
● design new biological systems or organisms for various
purposes
● designer's assistant, helping to create artificial life forms with
specific functions.
● suggests the best ways to assemble biological components.
● design organisms to solve environmental problems, produce
valuable substances, or even enhance human health
Role of Artificial
Intelligence in Ecosystem
Biodiversity Monitoring
● analyses vast amounts of data from diverse
sources such as satellite imagery, sensor
networks, and camera traps.
● helps scientists track changes in
ecosystems, identify endangered species,
and assess the overall health of biodiversity.
Conservation Planning and Management
● Analyzes ecological data, predicting species
distributions, and assessing habitat
connectivity.
● assists conservationists in making informed
decisions about protected areas, wildlife
corridors, and resource management.
Climate Change Modeling
● contributes to climate change research by modeling
complex interactions within ecosystems.
● helps scientists simulate various climate scenarios,
predict the impacts on biodiversity, and formulate
adaptive strategies for ecosystems to withstand
environmental changes.
Precision Agriculture
● analyzing data from satellites, drones, and
sensors
● optimizes crop management, minimizes
resource usage, and reduces environmental
impacts.
● contributes to sustainable agriculture while
preserving ecosystem health.
Environmental Monitoring and Pollution Control
● assist in monitoring environmental conditions and detecting
pollution.
● analyzing air and water quality data to identifying illegal
deforestation activities.
● provides real-time insights that support regulatory measures and
environmental protection efforts
Wildlife Conservation and Anti-Poaching Efforts
● enhances wildlife conservation through advanced analytics
● identifying and tracking animals, detecting poaching activities,
predicting potential threats to endangered species.
● AI-powered surveillance systems contribute to protecting wildlife
habitats.
Ocean Conservation
1. employed in monitoring and protecting marine
ecosystems.
2. help in tracking marine life migration patterns
3. identifying illegal fishing activities
4. assessing the impact of climate change on
ocean ecosystems.
Natural Disaster Prediction and Response
● helps in predicting natural disasters like wildfires, hurricanes, and floods.
● analyzing historical data and real-time information
● enhances early warning systems
● facilitates timely responses to mitigate the impact of disasters on ecosystems.
Conclusion
The role of AI in biology marks an era of unprecedented innovation and discovery.
As we navigate ethical considerations, address challenges, and embrace interdisciplinary
collaborations, the future of AI in biology appears bright and full of potential.
Enhances our understanding of life's complexities and empowering us to harness
biological knowledge for the betterment of human health and the environment
The role of AI in biology marks an era of unprecedented innovation and discovery.
As we navigate ethical considerations, address challenges, and embrace interdisciplinary
collaborations, the future of AI in biology appears bright and full of potential.
Enhances our understanding of life's complexities and empowering us to harness
biological knowledge for the betterment of human health and the environment
