Health
Could LLMs Revolutionize Drug and Material Design?
These researchers have developed an innovative system that augments an LLM with graph-based AI models, designed specifically to handle molecular structures
A new method is changing the way we think about molecule design, bringing us closer to the possibility of using large language models (LLMs) to streamline the creation of new medicines and materials. Imagine asking, in plain language, for a molecule with specific properties, and receiving a comprehensive plan on how to synthesize it. This futuristic vision is now within reach, thanks to a collaboration between researchers from MIT and the MIT-IBM Watson AI Lab.
A New era in molecular discovery
Traditionally, discovering the right molecules for medicines and materials has been a slow and resource-intensive process. It often involves the use of vast computational power and months of painstaking work to explore the nearly infinite pool of potential molecular candidates. However, this new method, blending LLMs with other machine-learning models known as graph-based models, offers a promising solution to speed up this process.
These researchers have developed an innovative system that augments an LLM with graph-based AI models, designed specifically to handle molecular structures. The approach allows users to input natural language queries specifying the desired molecular properties, and in return, the system provides not only a molecular design but also a step-by-step synthesis plan.
LLMs and graph models
LLMs like ChatGPT have revolutionized the way we interact with text, but they face challenges when it comes to molecular design. Molecules are graph structures—composed of atoms and bonds—which makes them fundamentally different from text. LLMs typically process text as a sequence of words, but molecules do not follow a linear structure. This discrepancy has made it difficult for LLMs to understand and predict molecular configurations in the same way they handle sentences.
To bridge this gap, MIT’s researchers created Llamole—a system that uses LLMs to interpret user queries and then switches between different graph-based AI modules to generate molecular structures, explain their rationale, and devise a synthesis strategy. The system combines the power of text, graphs, and synthesis steps into a unified workflow.
As a result, this multimodal approach drastically improves performance. Llamole was able to generate molecules that were far better at meeting user specifications and more likely to have a viable synthesis plan, increasing the success rate from 5 percent to 35 percent.
Llamole’s success lies in its unique ability to seamlessly combine language processing with graph-based molecular modeling. For example, if a user requests a molecule with specific traits—such as one that can penetrate the blood-brain barrier and inhibit HIV—the LLM interprets the plain-language request and switches to a graph module to generate the appropriate molecular structure.
This switch occurs through the use of a new type of trigger token, allowing the LLM to activate specific modules as needed. The process unfolds in stages: the LLM first predicts the molecular structure, then uses a graph neural network to encode the structure, and finally, a retrosynthetic module predicts the necessary steps to synthesize the molecule. The seamless flow between these stages ensures that the LLM maintains an understanding of what each module does, further enhancing its predictive accuracy.
“The beauty of this is that everything the LLM generates before activating a particular module gets fed into that module itself. The module is learning to operate in a way that is consistent with what came before,” says Michael Sun, an MIT graduate student and co-author of the study.
Simplicity meets precision
One of the most striking aspects of this new method is its ability to generate simpler, more cost-effective molecular structures. In tests, Llamole outperformed other LLM-based methods and achieved a notable 35 percent success rate in retrosynthetic planning, up from a mere 5 percent with traditional approaches. “On their own, LLMs struggle to figure out how to synthesize molecules because it requires a lot of multistep planning. Our method can generate better molecular structures that are also easier to synthesize,” says Gang Liu, the study’s lead author.
By designing molecules with simpler structures and more accessible building blocks, Llamole could significantly reduce the time and cost involved in developing new compounds.
The road ahead
Though Llamole’s current capabilities are impressive, there is still work to be done. The researchers built two custom datasets to train Llamole, but these datasets focus on only 10 molecular properties. Moving forward, they hope to expand Llamole’s capabilities to design molecules based on a broader range of properties and improve the system’s retrosynthetic planning success rate.
In the long run, the team envisions Llamole serving as a foundation for broader applications beyond molecular design. “Llamole demonstrates the feasibility of using large language models as an interface to complex data beyond textual description, and we anticipate them to be a foundation that interacts with other AI algorithms to solve any graph problems,” says Jie Chen, a senior researcher at MIT-IBM Watson AI Lab.
With further refinements, Llamole could revolutionize fields from pharmaceuticals to material science, offering a glimpse into the future of AI-driven innovation in molecular discovery.
Health
Ebola Outbreak Could Push Nearly One Million More People into Poverty, Cost Africa Billions: UNDP
While the immediate focus remains on containing the virus, the UNDP says the outbreak is also threatening livelihoods, jobs and public services, particularly in countries with fragile health systems
The ongoing Ebola outbreak in the Democratic Republic of the Congo (DRC) could push nearly one million more people into poverty and wipe billions of dollars from Africa’s economy if it is not contained quickly, according to a new analysis by the United Nations Development Program (UNDP).
While the immediate focus remains on containing the virus, the UNDP says the outbreak is also threatening livelihoods, jobs and public services, particularly in countries with fragile health systems. It warns that the economic effects are likely to outlast the health emergency, with women expected to face the greatest impact.
The analysis estimates that the outbreak could push an additional 985,000 people below the poverty line across Africa. In the worst-case scenario, the continent could lose up to US$3.6 billion as trade slows, businesses are disrupted and governments divert resources to emergency response.
“The cost of Ebola is measured not only in lives lost, but also in livelihoods lost,” the report notes, arguing that outbreaks of infectious diseases can undo years of development progress in a matter of months.
Women Likely to Bear the Brunt
According to the report, women are likely to be affected disproportionately because they make up much of the informal workforce and are often the primary caregivers at home. Restrictions on movement and market closures can cut off income for women working in informal trade, while increased caregiving responsibilities further reduce their economic opportunities.
The report also warns that pressure on healthcare systems could interrupt routine maternal and child health services, creating additional health risks beyond Ebola itself.
Economic Disruption Extends Beyond Affected Countries
Even if the outbreak remains concentrated in the DRC and neighbouring countries, its economic effects are expected to spread more widely through reduced trade, lower investor confidence and disruptions to regional supply chains.
The UNDP estimates that the DRC alone could lose more than US$1 billion in economic output and tens of thousands of jobs. Across the continent, the losses could reach US$2.37 billion under a moderate scenario and as much as US$3.6 billion if the outbreak spreads further.
Ebola Outbreak: A call for a Broader Response
The agency says responding to Ebola requires more than medical interventions. Along with strengthening surveillance and healthcare systems, governments should protect livelihoods through social safety nets, maintain essential public services and ensure that border measures do not unnecessarily disrupt trade.
According to the report, addressing these wider social and economic impacts will be crucial to preventing the current Ebola outbreak from becoming a long-term development setback for the region.
Health
Why Kerala’s Children Are Missing School as Monsoon Illnesses Return?
As monsoon illnesses surge across Kerala, children are increasingly missing schools. Experts warn that sanitation, surveillance and early intervention are critical to preventing outbreaks.
In the coastal district of Kozhikode, Kerala, a familiar pattern is beginning to reappear as the monsoon gathers strength. Classrooms that were full just weeks ago are now seeing a steady trickle of absences, with children staying home due to fever, diarrhea and other monsoon illnesses.
The situation is not unique to Kozhikode. Across Kerala, schools and health facilities are reporting a seasonal rise in illnesses that typically accompany the monsoon, including viral fevers, influenza-like infections, diarrhoeal diseases and, increasingly, Shigella infections.
“At least 5–6 students are absent daily due to some illness. Even though the school hasn’t reported cases of Shigella, there are cases of diarrhoea and viral fever,” said Jayasree, a school teacher from Kozhikode.
While such absenteeism is not unusual during the rainy season, doctors and public health officials say this year’s disease burden warrants closer attention. Kerala has reported 241 Shigella infections since the beginning of the year, and four of the first five deaths linked to the bacterial disease were children under the age of 10.
While Shigella has attracted particular attention, doctors say it is part of a broader seasonal pattern that includes viral fevers, influenza-like illnesses, diarrhoeal diseases and other infections that tend to surge during the rainy season. The wider disease burden is already visible across the state. In June, Kerala recorded more than 39,000 outpatient visits related to fever and seasonal illnesses over a three-day period, according to official figures, underscoring the pressure monsoon-related diseases continue to place on the healthcare system.

Why Children Face Greater Risks During Kerala’s Monsoon
Children are particularly vulnerable to infections during outbreaks because of both biological and behavioural factors.
“Young children are more likely to put their hands, toys, or other objects into their mouths, increasing exposure to germs. Maintaining good hand hygiene can also be challenging in this age group,” said Dr Sajana, paediatrician at Aster Medcity, Cochin.
She explained that Shigella spreads through the faeco-oral route. Even a very small number of bacteria can cause infection. Children also become dehydrated more quickly during diarrhoeal illnesses, making early detection and treatment critical.
The concern is not unique to Kerala. According to the Global Burden of Disease Study 1990–2016, published in The Lancet Infectious Diseases, Shigella was the second leading cause of diarrhoeal mortality globally in 2016 and was responsible for more than 63,000 deaths among children under five years of age. Public health experts note that young children are especially susceptible to complications because diarrhoeal illnesses can lead to rapid dehydration if not treated promptly.
Monsoon Illnesses Thrive When Water and Sanitation Systems Are Under Pressure
Public health researchers have repeatedly found that periods of intense rainfall can increase the risk of diarrhoeal disease outbreaks. Heavy rain can exposure to pathogens, particularly in densely populated communities and areas with inadequate sanitation.
Climate scientists and public health researchers have increasingly warned that changing rainfall patterns and more frequent extreme weather events can heighten the risk of waterborne diseases by contaminating drinking water sources and overwhelming sanitation infrastructure. For a state like Kerala, where the monsoon shapes both daily life and disease patterns, strengthening sanitation and surveillance has become as important as clinical care.
A recent incident in Malappuram district in northern Kerala, where a tender coconut stall was identified as the source of a Shigella outbreak, highlights how even commonly consumed foods can become transmission points when hygiene practices break down.
The concern has now prompted intervention at the highest levels of government. A high-level committee appointed by the Kerala government to review infectious disease control has warned that waterborne diseases such as Shigella are being reported more frequently this year. The committee recommended intensified sanitation campaigns, routine testing of drinking water sources, stronger food safety inspections and the deployment of field testing kits to health workers to identify contamination before outbreaks occur.
The committee also called for joint inspections of restaurants, street-food stalls and other food establishments, recommending that all food outlets be checked at least once every three months. Health officials believe such measures could help reduce the risk of food- and water-borne outbreaks that often emerge during the monsoon season.
The link between sanitation and disease is well established in Kerala itself. A study by researchers Chitra Grace A. and V. Mohanan Nair found that childhood diarrhoeal disease in rural Kerala remains closely associated with access to safe drinking water, sanitation facilities and household hygiene practices. The findings suggest that despite Kerala’s strong public health indicators, environmental and behavioural factors continue to shape disease risks among children.
These findings underline how even small lapses in sanitation, particularly during the monsoon when water sources become more vulnerable to contamination, can quickly translate into disease outbreaks.
Schools Become Kerala’s First Warning System
Schools often act as the first line of detection during seasonal outbreaks. Teachers are usually the first to notice patterns of illness among children, making early reporting critical.
“We are sending students back home even if they show mild symptoms such as a runny nose. Mask-wearing has also been made mandatory across the campus. Recently, a child was diagnosed with H1N1, but the situation has been well contained”, said Malini Arun Menon, Founder and Principal of Dolphinz Preschool, Kakkanad.
Health experts say that timely interventions such as sending symptomatic children home, temporary class suspensions and improved sanitation practices can significantly reduce transmission in school environments.
Regular cleaning of drinking water tanks, monitoring food preparation areas and ensuring that washrooms remain hygienic become especially important during the rainy season, when disease transmission risks tend to increase.
The First Line of Defence Begins at Home
Doctors say prevention often comes down to a handful of everyday practices. Ensuring children wash their hands regularly with soap, drink safe water and avoid unhygienic food can significantly reduce the risk of infection.
Families are also encouraged to keep children with symptoms at home and seek medical care promptly if warning signs such as persistent fever, bloody diarrhoea, repeated vomiting, dehydration or unusual drowsiness develop.
The state government’s expert committee has similarly emphasised the importance of community participation. It has recommended strengthening public awareness campaigns on sanitation, safe water practices and disease prevention while urging local bodies and health workers to intensify surveillance in identified disease hotspots.
The monsoon season can magnify risks, but experts say many infections remain preventable through simple hygiene measures and timely medical attention.
Can Kerala Predict Outbreaks Before They Happen?
Recognising the seasonal nature of disease outbreaks, Kerala is attempting to strengthen its predictive public health systems.
The state government recently highlighted plans for a seasonal disease calendar that would map when and where recurring outbreaks are most likely to occur. The initiative aims to help health authorities anticipate disease trends rather than merely respond to them after outbreaks have begun.
The high-level committee chaired by public health expert Dr S.S. Lal has reinforced that approach. In its preliminary report submitted this week, the committee recommended identifying disease hotspots using the Integrated Disease Surveillance Programme (IDSP), strengthening district-level surveillance and improving coordination between the health, education, local self-government, agriculture, forest and animal husbandry departments under a One Health framework.
The committee has also cautioned that mosquito-borne diseases such as dengue and chikungunya could become more widespread in the coming months due to the continuing effects of climate variability and changing weather patterns. Although dengue cases remain lower than during the same period last year, experts warn that sustained preventive measures will be necessary as the monsoon progresses.
The committee is expected to conduct further field visits and detailed studies, including investigations into recurring Nipah hotspots and the source of amoebic meningoencephalitis cases, before submitting its final report.
The idea reflects a broader shift in public health thinking, from reacting to outbreaks to predicting them. Kerala’s public health system has earned national recognition for responding quickly to health emergencies. The challenge now is whether it can stay ahead of them. As classrooms fill and the monsoon deepens across the state, health officials, schools and families face the same annual test: preventing familiar illnesses from becoming avoidable outbreaks.
Health
Need to Shift Cancer Care Towards Early Detection in India: Keith Flaherty
If cancers are identified at an earlier stage, therapies can be far more effective and, in many cases, curative, Flaherty says
India needs to place greater emphasis on early cancer detection to improve treatment outcomes, internationally renowned oncologist Keith Flaherty said during a visit to VPS Lakeshore Hospital in India’s southern state Kerala.
“Early detection is absolutely essential to better treatment outcomes. If cancers are identified at an earlier stage, therapies can be far more effective and, in many cases, curative,” Flaherty said after launching Lakeshore Yathra, an initiative focused on wellness and early cancer detection across Kerala.

Flaherty, Director of Clinical Research at the Massachusetts General Hospital Cancer Center and Professor at Harvard Medical School, spoke about the future of cancer care and the evolution of precision medicine since 2000. He said India has significant potential to contribute to precision oncology and targeted cancer therapies, but noted that important gaps remain in understanding the molecular profile of cancers among the Indian population.
Widely recognised for his contributions to precision medicine and targeted cancer therapy, Flaherty’s work has played a major role in shaping modern oncology globally.
Presiding over the event, S.K. Abdulla, Managing Director of VPS Lakeshore Hospital, said healthcare institutions must increasingly focus on wellness, prevention and early diagnosis alongside treatment.
“Through Lakeshore Yathra, we are trying to take healthcare closer to people and encourage regular screening and timely identification of disease. Detecting cancer early can make a significant difference in treatment outcomes and quality of life,” he said.
Abdulla also highlighted the hospital’s collaboration with the Indian Dental Association for a statewide initiative aimed at improving early oral cancer detection. The programme focuses on training dentists across Kerala to identify suspicious lesions and ensure timely referrals.
Moni Abraham Kuriakose, Head of the Institute of Head & Neck Sciences at VPS Lakeshore Hospital, said the hospital is adopting a three-pronged strategy for early cancer detection.
“Yathra includes screening programs for patients and family members visiting the hospital, population-level outreach initiatives for cancer and non-communicable disease screening in partnership with NGOs and workplaces, and the deployment of a mobile medical unit to facilitate diagnostic investigations closer to patients’ homes,” Moni said.
Flaherty also interacted with doctors and healthcare professionals during the event and shared insights on evolving approaches in oncology care, cancer research and precision medicine.
-
Space & Physics2 months agoIndia Semiconductor Mission: ‘It’s Not About Fabs. It’s About Building An Entire Ecosystem’
-
Climate2 months agoThe Climate World Cup? How Climate Change Could Affect Player Performance at the 2026 World Cup
-
Society1 week agoWhat Is Civilisational Diplomacy? Understanding India’s Newest Foreign Policy Tool
-
Society1 month agoFrom Bell Labs to the Classroom: A Second Career in Teaching
-
Space & Physics2 months agoEngineers Develop Dual-Mode Propulsion System for Next-Generation Small Satellites
-
Society2 weeks agoWest Asia Crisis: Can Kerala’s Returning Gulf Migrants Find a Future in the Green Economy?
-
Space & Physics2 months agoInside India’s Semiconductor Push: ‘This Is a 100-Year Bet’
-
Technology4 weeks ago10 Technologies That Could Change How We Power Homes, Fight Cancer and Feed the World


