What are the most promising areas of research for the next 5 years? (select up to your top 3)

Answer Explanations

• Artificial intelligence and machine learning Climate change and sustainable development Other (please explain below)

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  Developmental biology, telemedicine and health care access, remote monitoring and data collection

• Climate change and sustainable development Food sustainability Other (please explain below)

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  One Health

• Artificial intelligence and machine learning Food sustainability Renewable energy & storage

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  1. Artificial intelligence and machine learning: AI and machine learning are already having a transformative impact on various fields, including healthcare, finance, manufacturing, and transportation. In the next 5 years, we can expect further advancements in AI applications and technologies, such as natural language processing, computer vision, and robotics. These developments will create new opportunities for automation, personalization, and optimization, but they will also raise ethical and social concerns about data privacy, bias, and job displacement.

  2. Food sustainability: With the global population projected to reach 9.7 billion by 2050, the demand for food is expected to increase by 70%. At the same time, climate change, land degradation, and water scarcity are threatening the productivity and resilience of agricultural systems. Therefore, there is a pressing need to develop sustainable and resilient food systems that can provide nutritious, affordable, and accessible food for all while minimizing environmental impact. This requires research on various fronts, such as crop breeding, precision agriculture, alternative protein sources, and circular economy.

  2. Renewable energy & storage: The transition to a low-carbon economy is essential for mitigating climate change and achieving sustainable development goals. Renewable energy sources such as solar, wind, and hydropower have been growing rapidly in recent years, but their intermittent and variable nature poses challenges for grid stability and energy security. Therefore, there is a need to improve the efficiency, reliability, and scalability of renewable energy technologies, as well as to develop new energy storage solutions that can store surplus energy during times of excess supply and release it during times of high demand.

• Artificial intelligence and machine learning Climate change and sustainable development Other (please explain below)

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  Health inequalities - both related to mental and physical health, and how to decrease them.

• Artificial intelligence and machine learning Renewable energy & storage Other (please explain below)

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  Exposure Assessment for Human Health Risk Assessment. Historically, exposure has been monitored on a case-by-case basis. Exposure modeling would be much more efficient and cost-effect but it lacks the database needed to feed these models. This research should be done as a public works project because all would benefit; however, no entity has taken on this task even though exposure is fully half of risk (with toxic effect per exposure being the other half) in any risk assessment. This would not cost hundreds of millions of USD but it could consume tens of millions of USD over 10 years and would provide exposure estimates with much more confidence and much less need to over-estimate.

• Artificial intelligence and machine learning Genetics and personalized medicine Vaccines Climate change and sustainable development Food sustainability Renewable energy & storage

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  El mundo está cambiando. La IA debe ser investigada y testeada para saber de que manera nos puede ayudar a lidiar o si más bien se convierte en un obstáculo para enfrentar el cambio climático, la transición energética, pandemias, medicina de precisión, etc

• Genetics and personalized medicine

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  The rise in the global burden of non-communicable diseases in the western countries despite the advancement in medicine points to the limitations of current approaches used in classifying individual risk of disease. Current disease risk classification schemes are based on clinical risk factors. However, we now know that two individuals with the same underlying risk factors do not always have the same risk of a disease, say heart disease. Since the advent and completion of the Human Genome Project, researchers have studied the use of genetic variations or polymorphisms to determine how probable an individual is to have a disease. This has led to thousands of variants being identified from Genome-wide Association Studies, thanks also to improvement in next-generation sequencing technology. Consequently, there is a surging interest in using genetic associations to determine disease likelihood and patient outcomes. In the next 5-10 years, we will see the incorporation of these genetic risk tools in the clinic for routine management of patients. Drug development will be more individualised, so as to minimise waste and increase precision and effectiveness. The impact of genetic variants on anti-cancer drug interventions will be another area of major research interests

• Artificial intelligence and machine learning Vaccines Climate change and sustainable development

  pepcop77

  These research areas would be the most implemented and they are strictly correlated. Apart new unpredictable pandemic crisis, the development of new vaccines will help the struggle against cancer.

• Artificial intelligence and machine learning Climate change and sustainable development Neuroscience and bioengineering Robotics and automation Food sustainability Renewable energy & storage

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  Entrepreneurship

• Artificial intelligence and machine learning Vaccines Climate change and sustainable development

  user-404272

  The challenges for humans have only grown in the last decade or so. Agriculture, healthcare, and environment need interventions through innovations. I still think that sustainable planet is the need due to impending crisis of climate change. With infectious diseases burden on a high vaccine candidates will also be explored.

• Artificial intelligence and machine learning Non-animal testing approaches Robotics and automation Cybersecurity & Big Data Renewable energy & storage

  basucall

  Technological advances would take us by storm in next 5 years particularly in AI, automation and robotics. We need to put in place rules and regulations while we leap forward in these areas. Brace yourself!

• Artificial intelligence and machine learning Genetics and personalized medicine Climate change and sustainable development Robotics and automation Food sustainability

  user-600975

  Now under huge world population food and medicine two important areas researchers should look into. Also under digital world, AI, robotics and cyber security are important areas

• Artificial intelligence and machine learning Climate change and sustainable development Other (please explain below)

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  One Health

• Other (please explain below)

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  Pharmacology, molecular biology, cancer

• Artificial intelligence and machine learning Cybersecurity & Big Data

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  Membraneless organelles.

• Genetics and personalized medicine Climate change and sustainable development Non-animal testing approaches

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  All topics are related to improve human health for the next generations to come.

• Artificial intelligence and machine learning Climate change and sustainable development Renewable energy & storage Other (please explain below)

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  Medical advances

• Other (please explain below)

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  Clean water availability and supply? Is it implied in Food sustainability? if not I suggest to include special section to clean water sustainability.

• Artificial intelligence and machine learning Genetics and personalized medicine Climate change and sustainable development

  user-402489

  Artificial intelligence looks like the buzz now. Interest will increase on it, 2. there will be an increase in the use of generics and personalized medicines in order to advance healthcare delivery. 3. there is a big concern about the effects of climate change and as such it would still dominate the research land scape in the next 5 years.

• Artificial intelligence and machine learning Genetics and personalized medicine

  user-562467

  Artificial intelligence and personalized medicine are two of the most exciting topics in the next 5 years because they have the potential to revolutionize healthcare. AI can analyze vast amounts of data and identify patterns that are difficult for humans to see, which can lead to more accurate diagnoses and better treatment plans. Personalized medicine, on the other hand, takes into account an individual's genetic makeup, lifestyle, and other factors to create a treatment plan that is tailored to their specific needs. Together, these two technologies have the potential to improve patient outcomes and reduce healthcare costs. As research and development continue in these areas, we can expect to see even more exciting breakthroughs in the years to come.

• Genetics and personalized medicine Robotics and automation Renewable energy & storage

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  I have the most knowledge of gene therapy so I believe that this field is growing rapidly and that in the next five years we will see an expansion of treatments for genetic diseases and disorders that can be cured/treated with gene correction or replacement technologies. I selected the other two because it seems to be the general trend that of society, the demand for more automation and for greater usage of renewable energy as states and countries continue to try to phase out internal combustion engines

• Artificial intelligence and machine learning Non-animal testing approaches Other (please explain below)

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  Per- and polyfluoroalkyl substances and Perfluorooctanoic acid

• Genetics and personalized medicine Vaccines Climate change and sustainable development

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  Let's not forget BASIC RESEARCH!

• Artificial intelligence and machine learning Genetics and personalized medicine Vaccines Climate change and sustainable development Cybersecurity & Big Data Food sustainability Renewable energy & storage Other (please explain below)

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  Sustainable agriculture

• Artificial intelligence and machine learning Genetics and personalized medicine Neuroscience and bioengineering Robotics and automation Food sustainability Other (please explain below)

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  Radiation exposure

• Genetics and personalized medicine Vaccines Renewable energy & storage

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  While many scientists are playing with computer science, energy shortages will reduce us to hand writing pigeon post letters as electronics can't be switched on. Multiplication of humans is paired with multiplication of pathogens and DNA research will be key to enhanced immunity and better vaccines for humans and animals

• Genetics and personalized medicine Climate change and sustainable development Food sustainability

  user-577082

  We humans are in big need of preserving our planetary environment, while producing sustainable food for the large populations and alleviation of diseases.

• Artificial intelligence and machine learning Vaccines Food sustainability

  user-524878

  Seen the rapid improvement in Covid-19 vaccine development and expect this to be replicated for newer vaccines.
  AI is obviously a hot topic currently and promises to be front and center for the next few years.
  Food sustainability in the face of climate change may well be unimportant consideration especially with reference to costs

• Genetics and personalized medicine Climate change and sustainable development Food sustainability

  user-777547

  In the present and in the near future we need to take actions regarding our health and the environment we live in. We need to tackle some black boxes: antimicrobial resistance, food security, climate change. All the aspects under the "One Health" concept are of vital importance. Genomic (sequencing/bioinformatic) plays a key role in all the sectors: environment, food, feed, human and veterinary medicine.

• Neuroscience and bioengineering

  user-637348

  We have no idea how neuron can control various physiological mechanism s in our body.

• Food sustainability

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  Food safety, risk assessment, animal production, bee hive products

• Artificial intelligence and machine learning Genetics and personalized medicine Non-animal testing approaches

  user-378700

  Genetics and personalized medicine, Non-animal testing approaches will be on the top of natural sciences. Because scientists are developing a consensus about highly individualized medicine treatment for patients and preclinical studies are gradually focusing on non-animal models for the evaluation of true potential of pharmacological properties.

  Artificial intelligence and machine learning is the overall revolution in all the scientific fields.

• Artificial intelligence and machine learning Genetics and personalized medicine Robotics and automation

  user-839240

  A lot of businesses and clinical research processes are faster and more preciseas a result of robotics and Artificial Intelligence. Scientists now understand that there is not a one size fits all in medicine hence there will be an increased research in Generalized and personalized medicine.