– Fire Chief advises safe use of electricityWith a 17 per cent rise in electrical fires documented, the Guyana Fire Service (GFS) is advising safer use ofFire Chief Marlon Gentleelectricity, according to the Government Information Agency (GINA).GINA quoted Chief Fire Officer Marlon Gentle as saying that 135 external electrical fires have been reported this year compared to 115 for the same period last year.He asserted that most of these fires are observed to be stirring within the newly established villages, including Diamond (East Bank Demerara), Parfait Harmonie (West Bank Demerara) and Cummings Lodge (East Coast Demerara).“We’re still at the stage where persons are using drop cords or two or three households sharing the same power which is somewhat illegal also,” Gentle highlighted.The Fire Chief noted that electrical fires not only cause destruction to buildings but can result in the loss of lives through electrocution, thus emphasis is being placed on the need to use electricity safely.“If you need to use electricity, use it correctly, use it properly. Have a hired certified electrician to do your electrical installations,” Gentle advised.Though there has been an increase in electrical fires, the GFS reported a six per cent reduction in malevolent locations of fires and a 10 per cent decline in buildings being affected by fires.However, documentation shows an increase of “fire calls” totalling 1405 for the year but according to the Fire Service, this was due to the “dry spell” period endured by Guyana recently, where grass fires and bush fires erupted at various locations in the country.Additionally, there has also been an increase in “crank calls” to the Fire Service where Gentle explained the difficulty in detaining these callers because of the use of mobile phones. Nevertheless, it was stressed that falsely reporting a fire is a criminal offence.
4 Mexico forward Raul Jimenez speaks to the press. Paul Pogba buys France World Cup winners specially designed rings Fallon d’Floor SUPERSTITION LU BEAUTY Olivier Giroud confirms N’Golo Kante is the nicest man in football 4 South Korea goalkeeper Jo Hyeon-Woo won plaudits for his saves against Sweden. misery Pure class 4 A reminder to Liverpool fans about the very comical threat Neymar offers What the players are saying Jung Woo-Young (South Korea): “You can compare the two teams on paper, but we know we have to produce results that can [disprove] people’s predictions.“We just think about how we can stop Mexico from playing their style of game.”Raul Jimenez (Mexico): “We’ve seen South Korea’s matches. They are a quick opponent, they play well tactically and we should be ready for their counter attacks.“From the very beginning, our goal was to lead our group. If you want to become World Cup champions, you need to beat those in front of you. We have to show our best in each game.” Dele Alli reveals pre-match rituals and lucky charms he has before matches Mexico celebrate their stunning win over Germany. Watch every goal England scored at the 2018 World Cup South Korea star Jung Woo-Young speaks to the press. Key playerSouth Korea: Jo Hyeon-Woo may have ended up on the losing side against Sweden but pulled off one incredible save. He may need to be in similar form if they are to record a victory.Mexico: Hirving Lozano was the star against Germany, despite a tremendous overall performance from El Tri. He could be again, especially if he improves on his decision making in the final third. Learn the words for England’s catchy Gareth Southgate song But who will come out on top in Rostov-on-Don? You can listen to talkSPORT to find out.Team newsThey didn’t show too many signs of it in the match but Juan Carlos Osorio has insisted his Mexico players are recovered from a flu bug which hit their camp ahead of the win over Germany.For South Korea, though, changes are expected but none have been force by injury to any players. ‘It could have been me’ – Allardyce admits World Cup was tough to watch Predicted line-upsSouth Korea: Choo Hyun-Woo, Lee Yong, Jang Hyun-Soo, Kim Yiung-Gwon, Park Joo-Hoo, Lee Jae-Sung, Ki Sung-Yueng, Koo Ja-Cheol, Hwang Hee-Chan, Kim Shim-Wook, Son Heung-Min.Mexico: Ochoa; Salcedo, Ayala, Moreno, Gallardo; Herrera, Guardado; Layun, Vela, Lozano; Hernandez.Where can I stream South Korea v Mexico?The match will be live on talkSPORT. We’ll bring you commentary from 4pm.You can listen live by clicking this link – South Korea v Mexico. diamond geezer Why does Luis Suarez kiss his wrist when he celebrates a goal? Mexico brilliantly beat Germany in their opening game of Group D but now face an entirely different proposition in South Korea.Having lost to Sweden in their first game, the Asian nation will need a victory to keep their hopes of reaching the knockout stages alive. Arsenal star Laurent Koscielny admits he didn’t want France to win World Cup You’re the one Southgate makes young England fan’s day by replying to his letter NO JOY Shy guy Latest World Cup news Good times 4 talkSPORT will be with listeners all day and all night at this year’s 2018 FIFA World Cup™ with over 800 hours of World Cup content and all 64 games live across the talkSPORT network.
Source:https://www.gustaveroussy.fr/ Reviewed by James Ives, M.Psych. (Editor)Aug 27 2018A study published in The Lancet Oncology establishes for the first time that artificial intelligence can process medical images to extract biological and clinical information. By designing an algorithm and developing it to analyze CT scan images, medical researchers at Gustave Roussy, CentraleSupélec, Inserm, Paris-Sud University and TheraPanacea (spin-off from CentraleSupélec specializing in artificial intelligence in oncology-radiotherapy and precision medicine) have created a so-called radiomic signature. This signature defines the level of lymphocyte infiltration of a tumor and provides a predictive score for the efficacy of immunotherapy in the patient.In the future, physicians might thus be able to use imaging to identify biological phenomena in a tumor located in any part of the body without having to perform a biopsy.Up to now, no marker can accurately identify those patients who will respond to anti-PD-1/PD-L1 immunotherapy in a situation where only 15 to 30% of patients do respond to such treatment. It is known that the richer the tumor environment is immunologically (presence of lymphocytes) the greater the chance that immunotherapy will be effective, so the researchers have tried to characterize this environment using imaging and correlate this with the patients’ clinical response. Such is the objective of the radiomic signature designed and validated in the study published in The Lancet Oncology.In this retrospective study, the radiomic signature was captured, developed and validated in 500 patients with solid tumors (all sites) from four independent cohorts. It was validated genomically, histologically and clinically, making it particularly robust.Using an approach based on machine learning, the team first taught the algorithm to use relevant information extracted from CT scans of patients participating in the MOSCATO study, which also held tumor genome data. Thus, based solely on images, the algorithm learned to predict what the genome might have revealed about the tumor immune infiltrate, in particular with respect to the presence of cytotoxic T-lymphocytes (CD8) in the tumor, and it established a radiomic signature.Related StoriesAI technique helps produce high quality CT images at lower dosagesUsing artificial intelligence to identify socially isolated prostate cancer patientsMachine learning identifies bugs that spread Chagas diseaseThis signature was tested and validated in other cohorts including that of TCGA (The Cancer Genome Atlas) thus showing that imaging could predict a biological phenomenon, providing an estimation of the degree of immune infiltration of a tumor.Then, to test the applicability of this signature in a real situation and correlate it to the efficacy of immunotherapy, it was evaluated using CT scans performed before the start of treatment in patients participating in 5 phase I trials of anti-PD-1/PD-L1 immunotherapy. It was found that the patients in whom immunotherapy was effective at 3 and 6 months had higher radiomic scores as did those with better overall survival.The next clinical study will assess the signature both retrospectively and prospectively, will use larger numbers of patients and will stratify them according to cancer type in order to refine the signature.This will also employ more sophisticated automatic learning and artificial intelligence algorithms to predict patient response to immunotherapy. To that end, the researchers are intending to integrate data from imaging, molecular biology and tissue analysis. This is the objective of the collaboration between Gustave Roussy, Inserm, Université Paris-Sud, CentraleSupélec and TheraPanacea to identify those patients who are the most likely to respond to treatment, thus improving the efficacy/cost ratio of the treatment.