On Thursday, Uganda confirmed an outbreak of the Ebola virus in its capital city Kampala, with the first confirmed patient dying from it a day before. As per the new developments, the officials are now preparing to deploy a trial vaccine to put an end to this outbreak.

Groups of scientists are working on the vaccine and deployment of more than 2,000 doses of a candidate vaccine against the Sudan strain of Ebola has been planned and confirmed by the Uganda Virus Research Institute. As per the World Health Organization (WHO), Uganda has access to 2,169 doses of trial vaccine. For now, however, there are no approved vaccines for the strain and officials are still investigating the source of the outbreak.

The WHO had also allocated $1 million from its contingency fund for emergencies to support quick action and contain the outbreak in the country.

Confirmed Case

On Wednesday, the Sudan strain of Ebola killed a nurse employed at Kampala's main referral hospital. It is after his death that Ebola was declared an outbreak in the country. Post-mortem samples too have confirmed the Sudan Ebola Virus Disease and at least 44 contacts of the deceased man have been listed for tracing. 30 of these are health workers.

Ebola is a highly infectious hemorrhagic fever, which is transmitted through contact with bodily fluids and tissue. Symptoms include headache, vomiting of blood, muscle pains and bleeding.

it was in the late 2022, when Uganda had last suffered an Ebola outbreak. It killed 55 of the 143 people who were infected and was declared over on January 11, 2023.

What Is Ebola Virus Disease?

As per the WHO, Ebola virus disease (EVD) is a rare but severe illness in humans and is often fatal. People can get infected with the virus if they touch an infected animal when preparing food, or touch body fluids of an infected person such as saliva, urine, faeces or semen, or things that have body fluids of an infected person like clothes or sheets.

How Does Transmission Work?

Ebola enters the body through cuts in the skin or when one is touching their eyes, nose or mouth. Early symptoms include fever, fatigue and headache.

It was first discovered in 1976 in two simultaneous outbreak, when in Nzara, South Sudan and other in Yambuku, Democratic Republic of Congo. The latter occurred near a village near the Ebola River, which is where it gets its name from.

It is highly infectious and transmissible disease, in fact, there have been cases of health-care workers who have frequently been infected while treating patients with suspected or confirmed Ebola. This occurs through close contact with patients when infection control precautions are not practiced strictly.

Cases of people conducted burial ceremonies, involving direct contact with the body of the deceased too can lead to the transmission of Ebola. Even after the long suffering and recovery, there is a possibility of sexual transmission. Pregnant women who get acute Ebola and recover may still carry the virus in their breastmilk, or in pregnancy related fluids and tissues.

Symptoms:

• feeling tired
• headache
• muscle and joint pain
• eye pain and vision problems
• weight gain
• belly pain and loss of appetite
• hair loss and skin problems
• trouble sleeping
• memory loss
• hearing loss
• depression and anxiety

Pancreatic cancer is one of the most painful forms of tumour and is also likely to become the second-leading cause of cancer-related deaths in the US by 2030. This could be because 85 per cent of cancer cases in the US are not diagnosed until the disease has spread. Pancreatic cancer is a disease that is usually diagnosed at an advanced stage because there are no prominent early signs. However, a newly developed AI model from the Mayo Clinic and the University of Texas MD Anderson Cancer Center could change that—a new CT scan-based system can help with the timely diagnosis of pancreatic cancer.

Can AI help with pancreatic cancer diagnosis?

REDMOD (radiomics-based early detection model) was tested on CT scans of patients who were later diagnosed with pancreatic cancer. Researchers found that in nearly three out of four cases, REDMOD successfully identified the most common form of pancreatic cancer 16 months before diagnosis. It nearly doubled the detection rate of specialists reviewing scans without AI assistance. In some cases, REDMOD recognised suspicious tissue patterns more than two years before diagnosis. Researchers said that the AI system can detect cancer up to three years in advance.

How does AI work for pancreatic cancer diagnosis?

Experts found that the greatest barrier to saving lives from pancreatic cancer was the inability to detect the tumour when it was still curable. AI can identify cancer signs from a normal-looking pancreas, and it can do so reliably across clinical settings. Researchers used 969 CT scans of the pancreas as training data for REDMOD to help it detect early-stage cancer signs.

Instead of looking for a prominent tumour, the model analysed radiomic patterns that disrupt tissue structure and texture—changes that are too subtle for the human eye to detect. Many cancers begin when normal cells acquire DNA mutations, which affect how cells divide and grow. However, it can take years before these changes develop into a tumour that produces symptoms or becomes clearly visible on a scan.

How accurate was REDMOD at diagnosing pancreatic cancer?

REDMOD was tested on a varied set of CT scans after training — 63 from patients who later developed cancer but were scanned before diagnosis, and 430 from healthy individuals. Out of the 63 cases, REDMOD flagged 46 as suspicious, resulting in a 73 per cent success rate. All these scans had previously been given the all-clear by radiologists who evaluated them at the same time as REDMOD.

Out of the 430 healthy individuals, 81 were identified as suspicious cases by REDMOD. This means that if AI were deployed in a real-world scenario, some individuals might be recommended for additional tests before receiving a final all-clear. A similar performance was observed in two other datasets from different hospitals using different equipment. For patients who had multiple scans available, AI produced consistent results, even when the scans were taken months apart.

Are there any drawbacks of REDMOD?

The sooner REDMOD is implemented in clinical practice, the earlier it can detect pancreatic cancer. It could identify tumours at a stage when treatment is still possible. This could significantly improve survival rates and reduce cancer-related mortality. However, researchers now aim to test the effectiveness of AI in larger and more diverse populations.

The research has been published in the Gut.

Eleven forms of cancer are becoming increasingly common among young people in England. Experts at the Institute of Cancer Research and Imperial College London stressed that cancer among younger people is still rare, and that everyone can reduce their risk by simply switching to a healthier lifestyle. However, why tumours have started to develop in people in their late teens, or in their 20s, 30s and 40s, remains unclear. The study further shows that the reasons behind rising cancer cases are elusive. However, this research does indicate a decade-long pattern of people becoming overweight.

Why does one develop cancer?

A team of scientists worked towards understanding why a person develops cancer. They examined national trends in lifestyle and cancer to identify patterns. Researchers found that cases of the following types of cancer were rising:

1. Liver
2. Kidney
3. Thyroid
4. Bowel
5. Multiple myeloma
6. Womb lining
7. Mouth
8. Ovarian
9. Breast
10. Gallbladder
11. Pancreatic

Researchers found that breast and bowel cancers are common among younger adults, with 11,500 cases in a year, while gallbladder and pancreatic cancers were much rarer. It was also noted that ovarian and bowel cancers were exclusively being reported in young people, whereas the other nine were increasing in adults as well. The study by the Institute of Cancer Research and Imperial College London also analysed behavioural patterns known to raise cancer risk.

Researchers also found patterns related to alcohol intake, smoking levels, red and processed meat consumption, and diets low in fibre. These factors play a role in cancer development, but do not conclusively explain why cancer rates are increasing. Century-old tumour patterns, however, may explain why younger people are getting bowel cancer.

How to check for bowel cancer risk?

The report suggested that the only factors that align with an increased risk of cancer are obesity and being overweight, both of which have been on the rise since the 1990s. Extra fat tissue can alter hormones such as insulin, which can increase cancer risk. For instance, in the case of bowel cancer, for every 100 extra cases, 20 could be attributed to excess weight, while 80 remain unexplained. Researchers also note that it is important to prevent all cancers, not just the additional cases. It is estimated that nearly 40 per cent of cancers worldwide can be prevented through appropriate lifestyle choices, such as quitting smoking.

How to reduce cancer risk?

Quitting smoking and avoiding alcohol are among the simplest and most well-known ways of reducing cancer risk. However, experts say that other measures can also help. Maintaining a healthy body weight and staying physically active are simple ways to reduce cancer risk. Researchers also emphasise that while cancer rates are rising among younger people, the risk of tumours remains significantly higher in older age groups.

Researchers found that one in 1,000 people aged 20, 30 and 40 are diagnosed with cancer every year, compared to one in 100 among older age groups aged 50, 60 and 70. The search for other risk factors continues. Inflammation, sweetened drinks, gut bacteria, and air pollution must be addressed in time to reduce cancer risk. It is also being investigated whether improvements in cancer detection are contributing to earlier diagnoses in younger individuals.

The study’s findings are published in the BMJ Oncology.

Cervical cancer is a slow-developing cancer that occurs in the lower part of the uterus. It is caused by a persistent HPV infection, which usually occurs in women in their prime. Some of the symptoms of cervical cancer include pelvic pain and abnormal bleeding. Experts say that timely detection through a Pap smear or prevention with an HPV vaccine can make a difference. However, according to a study published in The Lancet, high-income countries are on the right track to eliminate cervical cancer.

What causes cervical cancer?

The study published in The Lancet notes that high-income countries are on the right track towards cervical cancer prevention through vaccination and screening. By 2048, low- and middle-income countries will see only slight reductions over the next century. As a result, the gap between regions will likely widen dramatically. Experts have found that 99 per cent of cervical cancer cases are linked to infection with human papillomaviruses (HPV), a virus that is transmitted through sexual contact.

Preventing cervical cancer

Cervical cancer, according to experts, can be prevented through the HPV vaccine and regular screenings. The elimination target set by the World Health Organization is fewer than four cases per one lakh women. Every country, as per the WHO, must meet the ‘90-70-90’ targets by 2030. This means 90 per cent HPV vaccine coverage among girls by the age of 15, 70 per cent of women screened between the ages of 35 and 45, and 90 per cent of women with pre-cancer and cancer treated. This would be considered being on track for cervical cancer elimination in the coming century.

Researchers note that reaching the WHO targets for screening and vaccination, for HPV elimination, or for introducing universal vaccination with high coverage, is essential for the elimination of cervical cancer. This could help bridge global inequalities in disease management. Achieving the 90-70-90 goal can avert 37 million cancer cases by the next century, thereby accelerating progress in eliminating the disease. The model, however, suggests that most countries are unlikely to reach the target without increasing investments in this direction.

The research model

Researchers proposed five HPV-centric prevention strategies. Under a status quo model, cervical cancer incidence could decline by 23 per cent, consequently leading to inequalities in disease management. Experts found that achieving 90 per cent vaccination coverage in low- and middle-income countries would reduce inequalities and help eliminate cancer. Research authors also noted that recent advancements, such as single-dose vaccines at a lower cost, could accelerate cervical cancer elimination worldwide.

Global efforts from international agencies and governments are also important. A September 2022 study published in The Lancet Oncology found that a single-dose cervical cancer vaccine with lasting protection and 90 per cent coverage could prevent 78 per cent of cancer cases in India.