Doctor's attempt to inject hospital superintendent with HIV+ blood

New Delhi, Jun 16: Congress president Sonia Gandhi on Tuesday demanded a rollback of hike in fuel prices, saying the government's decision to increase the prices of petrol and diesel during the coronavirus crisis is "wholly insensitive" and "ill-advised".

The government is doing nothing short of "profiteering off its people" when they are down and out, she said in a letter to Prime Minister Narendra Modi.

Petrol and diesel prices were hiked for the 10th day in a row on Tuesday.

"I am deeply distressed that in these exceedingly difficult times since the beginning of March, the government has taken the wholly insensitive decision to increase petrol and diesel prices on no less than ten separate occasions," Gandhi said in her letter.

She accused the government of earning an additional revenue of nearly Rs 2.6 lakh crore through these "ill-advised" hikes in excise duty and increase in prices of petrol and diesel.

"I urge you to roll back these increases and pass on the benefit of low oil prices directly to the citizens of this country.

"If you wish for them to be 'self-reliant' then do not place financial fetters on their ability to move forward," the Congress president said.

Gandhi also urged the government to use its resources to put money directly into the hands of those in need in these times of severe hardship.

New Delhi, May 24: Overwhelmed by the donations that poured in from the society for his help, Phool Mia, the fruit seller in north Delhi's Jagatpuri area whose mangoes were looted by the ordinary people, said that those who helped him have made his "Eid" and have shown that "humanity is still alive".

Video footage that went viral on social media, shows that scores of passers-by looted the unattended crates of mangoes of a fruit seller after a fight broke out in the neighbourhood. The incident took place on Wednesday.

"My stock of mangoes worth Rs 30,000 was kept there. Some persons were fighting with each other fearing which I left the place to avoid any sort of altercation. When I returned, I saw that they were looting the mangoes kept there. There were 50-100 people who were involved in this act," Phool Mia, narrated the ordeal.

"A video got viral about the incident after which people donated to me on a portal. They empathised with me when I was ruined. I thank the media and all those people who have donated from the bottom of my heart as they made my Eid. Now, I would be able to celebrate Eid with my children. This shows humanity is still alive," he added.

However, four people have been arrested on the basis of video footage, Delhi Police said.

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.