From personalized medicine to laboratory automation to gene therapy, both mature and emerging fields of innovation will help shape the future of biology.

Bailun Biotechnology takes you to look forward to the top 10 most noteworthy biotechnologies in 2025!

Personalized medicine and cell therapy aim to develop more targeted prediction, prevention, diagnosis, and treatment plans based on each individual's physiological, environmental, and behavioral characteristics.

This field has developed with the emergence of cutting-edge technologies such as DNA sequencing, multi omics, 3D tumor organoid culture systems, and wireless health monitoring. And progress has been made in the treatment of many refractory cancers, including multiple myeloma.

Gene therapy benefits from the progress of genetics and bioengineering such as CRISPR-Cas9 editing, nanoparticle biological delivery system and highly efficient adeno-associated virus (AAV) vector technology. 

It has great potential in the treatment of autosomal recessive diseases such as sickle cell anemia, acquired genetic diseases such as cancer and cardiovascular diseases, and viral infections such as AIDS.

The mRNA based SARS-CoV-19 vaccine has attracted attention for this therapy, which has been proven to be a safe, easy to produce, targeted, multifunctional, and effective drug category, showing promising prospects in the treatment of metabolic genetic diseases, cardiovascular diseases, infectious diseases, cerebrovascular diseases, and cancer, which are currently difficult to treat.

The AI driven biological data analysis revolution is changing our relationship with the world around us, enabling scientists and clinical doctors to quickly and accurately analyze large and complex datasets, driving unprecedented growth in many subfields of the life sciences industry, particularly precision medicine.

The laboratory sustainability of the life sciences industry has a significant impact on the environment due to the extensive use of energy and resources.

Researchers are committed to reducing hazards, consumables, and packaging waste, improving laboratory energy efficiency, and extending the lifecycle of tools before disposal or recycling.

Laboratory automation can improve the quality and reproducibility of results, support clinical translation in closed system environments, and enhance the efficiency, speed, and productivity of researchers.

New automated tools and systems will be key to the future of clinical manufacturing, helping to quickly "fail" and rapidly scale up effective methods in research and development processes such as drug candidate screening, potentially breaking the bottleneck of life-saving therapies such as mRNA vaccines and cell therapies.

Extinction science and paleogenomics used to assemble genomes or extract meaningful genetic information from samples such as museum specimens from the 19th century, Egyptian mummies, and prehistoric bones, which seemed like concepts in science fiction. 

However, with the emergence of next-generation sequencing (NGS) technology, these ideas have become a reality, helping to reveal genetic factors such as human evolutionary history and disease risk.

More than 90% of potential anti-cancer drugs fail in clinical trials due to serious limitations in 2D preclinical models that rely on traditional immortalized tumor cell lines.

3D cultured tumor organoid models can more accurately reflect the physiological behavior and characteristics of cancer cells, which is expected to accelerate the development of cancer drugs and personalized medicine.

Multiomics integrates different information about biological systems from genomics, epigenomics, transcriptomics, proteomics, and metabolomics, providing researchers with a comprehensive view and analysis of complex biological processes, helping to classify diseases more accurately, identify health and disease biomarkers, and discover new drug targets.

The development of multi omics technologies from primarily serving as research tools to clinical applications demonstrates the potential to promote personalized disease prevention, diagnosis, and treatment.